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Staff Machine Learning Engineer, LLM
Spotify
New York, NY
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.

Spotify has more than 500M listeners in more than 180 markets worldwide, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them. Personalization provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and for us to suggest things they might not be aware of that they would like. 

We are looking for a Staff Machine Learning Engineer to help us define and build the next generation of Spotify features and products. You will be responsible for the design and development of large language models that will power the personalization engine of Spotify to provide a better user experience and surface the content to individual users that maximizes their long-term satisfaction.

At Spotify we say "Listening is everything". In addition to our market lead in music streaming, we have broadened our offering to include podcasts and audiobooks.  We invest deeply in making sense of this new content to power our personalization and recommendation systems. You will be part of an interdisciplinary team focusing on building robust systems with large language models at their core that can be used downstream to power search, discovery, and recommendations across the platform.

What You'll Do

    • Contribute to the technical design, architecture, development, and evaluation of a Foundational large language model to apply Transformer/LLM technology to the next generation of Spotify features and products
    • Provide technical leadership and be an active contributor to the Spotify group of machine learning practitioners that are building LLMs and their associated infrastructure
    • Collaborate with a multi-functional, agile team, spanning research science, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways

Who You Are

    • You have hands-on experience building and implementing large language models using tools at scale, such as PyTorch, TensorFlow, Ray, Python, Java, and Scala
    • You have a strong track record taking new research ideas in Machine Learning, Natural Language Processing into production
    • You have in-depth, working knowledge  of Transformers and LLMs for content understanding tasks
    • You have experience with model training, deployment, and serving using Google Cloud Platform and the associated tools and technologies
    • You have contributed code and models to large-scale (100M+) consumer applications that are both reliable and cost-efficient
    • You understand the architecture and development workflow for large-scale batch and streaming machine-learning systems

Where You'll Be

    • We are a distributed workforce enabling our band members to find a work mode that is best for them!
    • Where in the world? For this role, it can be within the Americas region in which we have a work location.
    • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here
The United States base range for this position is USD 202,353- 289,076, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.


Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Full-time
Senior
Natural Language Processing
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Senior Machine Learning Engineer
Spotify
London
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.

We are looking for a Senior Machine Learning Engineer with a focus on advertisement and content promotion algorithms to join our team that is working on applying and experimenting with state of the art machine learning techniques for guiding every user to a satisfying listening experience every time. By leveraging both human and machine learning intelligence we empower content professionals to efficiently combine their expertise in technology and culture to help connect listeners to content and artists they’ll love. 

You will be working with a cross-functional team based all across Europe who’s driving the application of machine learning to make Spotify’s beloved playlists and strategic content promotion even better. As a senior engineer in the team, you will not only coordinate and influence the direction within the team but also work with multiple stakeholders to power different personalization projects across Spotify. This is a unique opportunity to revolutionize audio recommendation with machine-learning and reinforcement-learning based approaches by collaborating with multiple teams to reshape Spotify’s existing products and develop new products.

Join us and you’ll keep millions of users listening to phenomenal recommendations every day. We’re a team of technologists, product insight specialists, designers, and product managers in Stockholm, Boston, New York, and London.

Who You Are

    • You have an MSc or PhD in Computer Science, Machine Learning, Engineering, Mathematics, Physics, or equivalent.
    • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in machine learning algorithms for recommender systems and/or computational advertising.
    • You have hands-on experience implementing production machine learning systems at scale in Python, Scala, Java or similar languages. Previous proven experience with frameworks such as Tensorflow and the Tensorflow ecosystem (TFX) is also a plus.
    • You have experience with data pipeline tools like Apache Beam, Spark, etc., and cloud platforms like GCP or AWS.
    • Experience in computational advertisement or native advertisement is a plus.
    • Familiarity or a hands-on experience with reinforcement learning approaches is a plus.
    • You care and are able to execute on agile software processes, data-driven development, reliability, and disciplined experimentation.
    • You enjoy to survey research publications in the machine learning and software engineering communities.
    • You love your customers even more than your code.

What You'll Do

    • Work from our London office or remotely within the EMEA country of your choice as a part of an outstanding team of engineers.
    • Contribute to crafting, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML development
    • Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
    • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
    • Drive optimization, testing, and tooling to improve product quality
    • Be part of an active group of machine learning practitioners across Spotify

Where You'll Be

    • This position will be based in London
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Full-time
Senior
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Data Science Lead, Creator Marketing - Music
Spotify
New York, NY
We are looking for a passionate Marketing Data Science Leader to join the Creator Marketing team - Spotify’s division dedicated to helping artists thrive by providing the most valuable tools to create music, build an audience, monetize their fans and ultimately live off their work.
Spotify for Artists is used by more than a million artists monthly to get insights, reach new listeners and deepen their connection with their audience. We are looking to invest in Marketing Data Science as part of the Creator Marketing organization and are seeking a strong leader to build out this capability.

We are looking for an experienced Marketing Data Scientist who can generate useful insights and help shape the organization’s strategy by working with the Global Head of Creator Marketing and the leadership team. You will also power some of Spotify’s most impactful creator-facing marketing campaigns: these include global franchises like Spotify Artist Wrapped or Fan Study. Lastly, you’ll be responsible for the measurement of marketing impact, attribution, and incrementally testing while at the same time setting up the data infrastructure to support our long-term marketing vision.

In this role, you’ll report to the Head of Creator Marketing. You will also be a part of a wider community of 40+ data scientists and researchers building creator-facing products. This is a crucial role for our organization. The ideal candidate will have impeccable data skills, the ability to work with both marketing managers and engineers and ideally a passion for music. 

What you'll do:

    • Work closely with cross-functional teams of marketing managers, data scientists and the wider R&D organization who are passionate about helping artists thrive
    • Deliver data stories to power Spotify for Artists’s most impactful data storytelling campaigns such as Artist Wrapped and Fan Study
    • Use data insights to advise Spotify’s global creator marketing strategy in close partnership with the Creator Marketing leadership team
    • Develop metrics & marketing attribution models to improve our understanding of the impact and enable us to iterate
    • Develop data-driven case studies to showcase the impact of our products and services that can be used across marketing touchpoints to activate customers
    • Build out and maintain dashboards to support data-driven decision-making across the wider Creator Marketing organization.

Who you are:

    • 8+ years of experience working with data to drive marketing initiatives
    • Experience crafting success metrics, running power analyses, determining statistical significance, and presenting actionable insights with clear recommendations or implications. You have experience with marketing attribution models, causal inference, or marketing mix modeling.
    • Experience with data modeling & engineering, including creating robust pipelines pulling data from 3rd party and internal APIs and large-scale datasets.
    • You have a good understanding of marketing: you are familiar with marketing channels, SEM, social measurement, the difference between paid and unpaid channels etc
    • You are capable of solving loosely defined problems and translating complex thinking into practical applications for diverse audiences.
    • You’re a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experience to influence real-world product or feature decisions

Where you'll be:

    • We are a distributed workforce enabling our band members to find a work mode best for them!
    • Where in the world? For this role, it can be within the Americas region in which we have a work location
    • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
    • Working hours? We operate within the Eastern Standard time zone for collaboration
The United States base range for this position is $161,495 - $230,708 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Full-time
Senior
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Data Scientist II, FP&A - Business Intelligence
Spotify
New York, NY
We are looking for an outstanding Data Scientist to join our Business Intelligence team. This role will provide data analysis and reporting support to Spotify’s FP&A organization. This role will report into the Business Intelligence Lead within the Finance Data team, and provide broad exposure to Spotify wide opportunities, challenges and other key decision-making across multiple lines of business.  The Business Intelligence function develops and maintains financial datasets and dashboards, while leveraging skills in working with data programmatically to improve efficiency and accuracy of FP&A outputs.

The ideal candidate should have experience working with big data and BI tools, excellent attention to detail, and be able to prioritize effectively in a fast-paced, high growth environment. There will be heavy emphasis on financial, user, and consumption metrics with automation of analysis and reporting. Accompanying this broad set of responsibilities is exposure to multiple areas of the business, as well as multiple tiers of senior management throughout the company.

At Spotify, we are passionate about what we do and deliver high-impact projects with both quality and pace through tight-knit, cross-functional teamwork. By turning insights into strategies and models into plans, you will craft the process in which leaders and decision-makers across Spotify understand and evaluate our business’s financial health and trajectory.  Above all, your work will impact the way the world experiences music.

What You'll Do

    • Serve as the first line of support for FP&A data needs
    • Create and maintain tools for analysis and dashboarding
    • Manage data pipelines and consult on technical best practices 
    • Measure performance of business initiatives using big data tools
    • Create and support financial models using programmatic data analysis
    • Evaluate BI processes and propose methods for improvement

Who You Are:


    • You have a minimum of 5 years work experience with an emphasis on programmatic data analysis, and visualization/ dashboarding
    • You have expert level SQL and intermediate level Python skills
    • You have experience using multiple visualization tools (Tableau/ Looker) 
    • Preferred, but not required, a strong understanding of financial data (GL, Income Statement)
    • You are able to work in a fast paced, highly collaborative, and international environment
    • You are a self-starter who is intellectually curious and seeks projects independently
    • You are passionate about both technology and music

Where You'll Be:

    • This is a New York based role
    • Working hours? We operate within the local (EST) timezone for collaboration 
The United States base range for this position is $101,240.00- 144,628.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Full-time
Mid Level
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Data Scientist - Core Experience
Spotify
London
Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day.

We are looking for a Data Scientist to join our Core Experience insights team, responsible for experiences in our main iOS and Android applications.

As part of our team, you will study user behaviour, strategic initiatives, product features and more, bringing data and insights into every decision we make. Your work will impact how we think about our users, our ability to identify and satisfy their needs, and build compelling customer support offerings and experiences informed by those needs. This is a highly impactful role where you and the rest of the team will be able to directly impact how millions of Spotify users are supported around the world.

What You’ll Do

    • Co-operate with cross-functional teams of data scientists, user researchers, product managers, designers and engineers who are passionate about our consumer experience 
    • Perform analysis on large sets of data to extract impactful insights on user behaviour that will help drive product and design decisions
    • Plan and execute experiments to evaluate new features and improvements to the product 
    • Communicate insights and recommendations to stakeholders across Spotify
    • Be a key partner in our work to build out our product strategy so that we are relevant in the daily lives of consumers

Who You Are

    • Relevant experience or a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject area
    • Strong interpersonal skills and are comfortable working with multiple stakeholders
    • Know how to understand and tackle loosely defined problems and come up with relevant answers and impactful insights
    • Proficiency with Python, or similar programming languages
    • A/B testing methodologies
    • Experience with Google BigQuery or proficiency in SQL
    • Extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling

Where You'll Be

    • We’ve introduced Work From Anywhere to give you more options!
    • We are giving you the flexibility to choose to work from our office in London or from home in the UK depending on your preference
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Full-time
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Data Scientist - Content Provider Solutions
Spotify
London
Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day.

We are looking for a Data Scientist to join our Content Platform Product insights organization. Content Platform is a central enabler for Spotify; together, our teams ensure that Spotify has a complete, safe, available and enriched catalog of music, podcasts, videos and more. We provide the insights that enable a differentiated understanding of music providers and their content, attributes and relationships to Spotify. We also manage a suite of products that enable providers all over the world to seamlessly upload content for millions of Spotify listeners to enjoy. This role will be a part of our Content Provider Solutions team, who are focused on improving the delivery process and experience for our content providers.

What You’ll Do

    • Work alongside product managers, designers, engineers and operations to design great products for our partners.
    • Participate in the entire product development lifecycle, from ideation and concept development to product launch and post-launch analysis.
    • Define the metrics we use to measure the success and health of products, and track them through dashboards.
    • Design, implement and maintain ETL pipelines in SQL and Google BigQuery.
    • Create insights from large sets of data that will help drive product, design decisions and business performance.
    • Communicate insights and recommendations to partners across Spotify.

Who You Are

    • Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field, or equivalent experience.
    • You have experience working with product teams, participating in the product development cycle.
    • You are adept at working with loosely defined requirements, demonstrating the ability to independently scope and structure your own work.
    • Experience with product analytics, including crafting success metrics, identifying causality, and presenting findings with clear product recommendations or implications.
    • Experience in programming in at least one language (Python, R) and fluent in SQL. BigQuery experience is a plus.
    • Experience visualizing data and/or building dashboards. Looker Studio and/or Tableau experience is a plus.
    • Experience in working with user behavior data. Google Analytics experience is a plus.

Where You’ll Be

    • We’ve introduced Work From Anywhere to give you more options!
    • We are giving you the flexibility to choose to work from our office in London or from home in the UK depending on your preference.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Full-time
Mid Level
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Senior Machine Learning Engineer
Spotify
London
The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.

Within Freemium R&D, the Machine Learning Product Area mission is to optimize the user journey to drive revenue and retention by ensuring users receive the right communication & offers, at the right time, on the right surface and in the right format. This role sits in a squad called Downsample, a combination of Machine Learning Engineers, Data Engineers, and Backend Engineers. Some examples of our work are: a)retrieving and ranking artists you might like to follow when going through your Spotify onboarding; b) predicting which users we should send Spotify Premium upsell messages to and which are happy on the Free experience.

WHAT YOU'LL DO:

    • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development.
    • Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways.
    • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users.
    • Help drive optimisation, testing, and tooling to improve quality.
    • Be part of an active group of machine learning practitioners in your mission and across Spotify.
    • Thoughtfully communicate your work and experience through internal collaborations and mentorship opportunities.

WHO YOU ARE:

    • You have a strong background in machine learning, theory, and practice, with 5+ years of experience in the field.
    • You are comfortable explaining the intuition and assumptions behind ML concepts.
    • You are an excellent collaborator who communicates clearly, both in written and verbal forms, with external stakeholders.
    • You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages. Experience with TensorFlow is also a plus.
    • You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models.
    • You preferably have experience with cloud platforms like GCP or AWS.
    • You care about agile software processes, data development, reliability, and focused experimentation.

WHERE YOU'LL BE:

    • We’ve introduced Work From Anywhere to give you more options!
    • We are giving you the flexibility to choose to work from our office in London or from home in the UK depending on your preference.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Full-time
Senior
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Data Scientist, Content Analytics Music Partnerships
Spotify
New York, NY
Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music, podcasting and audiobooks. Today, we are the world’s most popular audio streaming subscription service with a community of more than 515 million users.

We are looking for an outstanding Data Scientist to join the band and build core analytics to support our Music Partnerships teams, meaning the teams at Spotify who work with artists, artist managers, songwriters, record labels and music publishers. 

What You'll Do

    • Perform analyses on large sets of data to extract useful insights that will drive decisions, with a particular focus on artist and release performances
    • Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening
    • Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling
    • Craft high impact presentations for senior management on the Music Partnerships teams
    • Evaluate Spotify’s value exchange with music partners and build compelling data visualization tools to move it forward
    • Analyze AB-tests and form hypotheses for product improvements in how content reaches listeners
    • Model statistical predictions to surface growing artists, genres and music trends, so as to advise resource allocation in and around Spotify’s Music organization

Who You Are

    • You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable
    • 2+ years (5+ years for senior role) of proven experience analyzing complex data with SQL, Python, and/or R
    • You are passionate about music and digital content trends in general. Previous experience in music is a preference. Other media, entertainment, or technology experience is also highly valued
    • You are an effective communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights.
    • Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)
    • Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus
    • Experience creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus

Where You'll Be

    • We’ve introduced Work From Anywhere to give you more options!
    • While we will ask you to pop into the office from time to time, we are giving you the flexibility to work from home should you choose to do so.
    • Working hours? We operate within the EST time zone for collaboration.
The United States base range for this position is $101,240-144,628, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Full-time
Mid Level
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Data Scientist, New Content Formats
Spotify
New York, NY
Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for innovating the world of audio and expression. Today, we are the world’s most popular audio streaming subscription service with a community of more than 515 million users.

We are looking for an outstanding Data Scientist to join the band and our Content Analytics team to drive insights and learning around our growing number of content formats beyond music and podcasts (audiobooks, ambient, video). 

What You'll Do

    • Perform analyses on large sets of data to extract useful insights that will drive decisions, with a particular focus on new & innovative content formats at Spotify
    • Engineer novel data sets, features and reports that shed a new light on the dynamics of how users and creators engage with new content formats
    • Craft high impact presentations and communicate data-driven insights and recommendations to various audiences, through clear visualizations and data storytelling
    • Partner with other data scientists on the team and across the organization to develop insights agendas for new content experiences within Spotify

Who You Are

    • 2+ years of proven experience analyzing complex data with SQL, Python, and/or R
    • You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics
    • Previous experience with consumer-facing digital apps preferred; other media, entertainment, or technology experience is also highly valued
    • You are curious and not afraid of exploring new domains; you enjoy partnering with others to define and develop new opportunities
    • You are a strong communicator; you focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights
    • Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)
    • Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus
    • Experience crafting and scheduling datasets is a plus

Where You'll Be

    • We’ve introduced Work From Anywhere to give you more options!
    • While we will ask you to pop into the office from time to time, we are giving you the flexibility to work from home should you choose to do so.
    • Working hours? We operate within the EST time zone for collaboration.
The United States base range for this position is $101,240- 144,628, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Full-time
Mid Level
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Senior Machine Learning Engineer, Content Intelligence
Spotify
New York, NY
Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them. 

Have you ever had a debate at a party about who originally wrote a song versus who covered it? Tried to find a sample you loved more than the song you heard it in?  Wondered who was actually in the recording booth for your favorite song (on both sides of the glass)? Wonder what Britney Spears, Nsync, Pink, Katy Perry, Taylor Swift, and The Weeknd all have in common? (The same songwriter wrote Billboard number-one singles for all of them). Who gets paid every time we sing “Happy Birthday”? 
Music attribution at scale is one of the great unsolved technical problems of the music industry, and we’re building cutting-edge technology to solve it. Our goal is to solve this problem for the more than 60 million music tracks playable on Spotify, building a knowledge graph through cutting-edge machine learning models, deep subject matter expertise, and close integration with human-in-the-loop processes across Spotify and the industry. Content Platform’s catalog data powers Spotify experiences from Artist pages in the app, search and recommendations, human playlist curation, Spotify for Artists, and our music industry strategy. 
Our teams are composed of product, machine learning, data and backend engineers, and subject matter experts who average 11 years behind the scenes in the music industry.  
We are looking for a Senior Machine Learning Engineer to help us define and build Spotify’s capabilities in this area. Our team expands the state of the art in AI-based machine technology, which enables intelligent, efficient, and intuitive ways to search, re-use, explore or process metadata. You will use world-class engineering and machine learning techniques on real-world, internal, and external big data to directly impact the evolution of our music catalog.

What You'll Do

    • Build production systems that enrich and improve our listeners’ experience on the platform
    • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
    • Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
    • Help drive optimization, testing, and tooling to improve quality
    • Perform data analysis to establish baselines and inform product decisions
    • Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features

Who You Are

    • You have professional experience in applied machine learning
    • Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS)
    • You have some hands-on experience implementing or prototyping machine learning systems at scale
    • You have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark.
    • Experience with NLP is a plus
    • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
    • You have experience and passion for fostering collaborative teams
    • Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus
    • Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam / Spark is a plus

Where You'll Be

    • We are a distributed workforce enabling our band members to find a work mode that is best for them!
    • Where in the world? For this role, you must be located in EST.
    • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
    • Working hours? We operate within the Eastern Standard time zone for collaboration

The United States base range for this position is $170,045 - $242,981, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process.  Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Full-time
Senior
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Machine Learning Engineer, Advertising Relevance
Spotify
New York, NY
Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

At Spotify, we’re proud of our ambitious mission of having 1 billion fans enjoying music around the world, and are seeking machine learning engineers to join us in pursuit of this goal. Our team leverages machine learning to drive both advertiser outcomes and listener satisfaction in Spotify Free, helping democratize music access globally while positively impacting Spotify’s bottom line. We develop innovative solutions around the core problem of getting the right ad to the right user at the right time, while embodying Spotify’s values and taking our users’ best interest at heart. 

What You'll Do

    • Build production systems that personalize our listeners’ experience of ads on platform
    • Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
    • Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
    • Help drive optimization, testing, and tooling to improve quality
    • Perform data analysis to establish baselines and inform product decisions
    • Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features

Who You Are

    • You have professional experience in applied machine learning
    • You have some hands-on experience implementing or prototyping machine learning systems at scale in Java, Scala, Python, or similar languages
    • Experience with ad tech, NLP, Computer Vision, or audio signal processing is a plus
    • You care about agile software processes, data-driven development, reliability, and disciplined experimentation
    • You have experience and passion for fostering collaborative teams
    • Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus
    • Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam / Spark is a plus

Where You'll Be

    • We are a distributed workforce enabling our band members to find a work mode that is best for them!
    • Where in the world? For this role, it can be within the Americas region in which we have a work location
    • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here
    • Working hours? We operate within the Eastern Standard time zone for collaboration
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Full-time
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Data Science Manager - Ad Tech
Spotify
New York, NY
Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

Do you want to join a growing, collaborative multi-disciplinary insights team?

Do you want to use your skills and experience to grow a culture of data informed decision making in product development?

We are looking for an expert leader in data science to lead a cross-disciplinary insights team to help craft product and platform strategies that are rooted in evidence, and deliver on a qualitative and quantitative insights roadmap.

Your work will help Spotify deliver an excellent Free listener experience and first class promotional products for our advertisers across both music and podcasts. Our advertising platform currently supports a billion dollar advertising business, and you'll work to build personalized, engaging and performant ad formats and experiences.

What You'll Do

    • You will lead, run and grow a team of Product Insights Data Scientists within Spotify Advertising; setting priorities with the team to improve influence and impact in the organization.
    • You will be hands-on and crucial to the success of data science projects. You’ll be accountable for the overall strategy, daily execution, and success of your team.
    • Work closely with partners across Product Management, Engineering, Design and Sales to deliver impactful findings and recommendations with a goal of building a next generation advertising platform.
    • You will collaborate with user research on mixed-methods insights and recommendations.
    • You will work on iterative product improvement through efficient experimentation and causal analysis and build lasting solutions to surface critical data and performance metrics.
    • Use your strategic skills to communicate findings through digestible data stories that connect to the business and impact decision making for our partners.
    • Build project roadmaps to provide strategic direction aligned with product teams goals

Who You Are

    • 1+ years of experience as a people-manager
    • 8+ years of overall experience in a product-focused data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject areas
    • You have worked closely with product, engineering and design and know how data science can most effectively contribute during the product development lifecycle
    • You value cross-disciplinary work and understand how to integrate qualitative research with your quantitative analysis
    • You are capable of tackling ambiguous problem spaces and challenges, are a self-starter and able to manage your team’s projects through planning, scoping, conducting, analyzing and presenting research
    • You have technical competence to perform sophisticated analytics: coding skills for analytics and data extraction (such as SQL, Python, Pandas, R), data visualization skills to distill insights (such as Tableau, ggplot) and statistical analysis skills to tease out patterns from noise
    • You have deep expertise in A/B testing and are able to craft effective experiments to measure the impact of product features on user behavior and business metrics
    • You effectively connect with a wide range of cross-functional partners: you able to both explain sophisticated concepts to non-technical stakeholders and have technical discussions with engineers
    • We are a distributed workforce enabling our band members to find a work mode that is best for them!
    • Where in the world? For this role, it can be within the Americas region in which we have a work location
    • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
    • Working hours? We operate within the Eastern Standard time zone for collaboration

Where You'll Be

    • We are a distributed workforce enabling our band members to find a work mode that is best for them!
    • Where in the world? For this role, it can be within the Americas region in which we have a work location.
    • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere  options here.
    • Working hours? We operate within the Eastern Standard time zone for collaboration.
The United States base range for this position is $134236 - $191765, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. This range encompasses multiple levels. Leveling is determined during the interview process.  Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Full-time
Mid Level
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Senior Machine Learning Engineer
Spotify
London
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours.

We are looking for a Senior Machine Learning Engineer with a focus on advertisement and content promotion algorithms to join our team that is working on applying and experimenting with state of the art machine learning techniques for guiding every user to a satisfying listening experience every time. By leveraging both human and machine learning intelligence we empower content professionals to efficiently combine their expertise in technology and culture to help connect listeners to content and artists they’ll love. 

You will be working with a cross-functional team based all across Europe who’s driving the application of machine learning to make Spotify’s beloved playlists and strategic content promotion even better. As a senior engineer in the team, you will not only coordinate and influence the direction within the team but also work with multiple stakeholders to power different personalization projects across Spotify. This is a unique opportunity to revolutionize audio recommendation with machine-learning and reinforcement-learning based approaches by collaborating with multiple teams to reshape Spotify’s existing products and develop new products.

Join us and you’ll keep millions of users listening to phenomenal recommendations every day. We’re a team of technologists, product insight specialists, designers, and product managers in Stockholm, Boston, New York, and London.

Who You Are

    • You have an MSc or PhD in Computer Science, Machine Learning, Engineering, Mathematics, Physics, or equivalent.
    • You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in machine learning algorithms for recommender systems and/or computational advertising.
    • You have hands-on experience implementing production machine learning systems at scale in Python, Scala, Java or similar languages. Previous proven experience with frameworks such as Tensorflow and the Tensorflow ecosystem (TFX) is also a plus.
    • You have experience with data pipeline tools like Apache Beam, Spark, etc., and cloud platforms like GCP or AWS.
    • Experience in computational advertisement or native advertisement is a plus.
    • Familiarity or a hands-on experience with reinforcement learning approaches is a plus.
    • You care and are able to execute on agile software processes, data-driven development, reliability, and disciplined experimentation.
    • You enjoy to survey research publications in the machine learning and software engineering communities.
    • You love your customers even more than your code.

What You'll Do

    • Work from our London office or remotely within the EMEA country of your choice as a part of an outstanding team of engineers.
    • Contribute to crafting, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML development
    • Collaborate with a multi-functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
    • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
    • Drive optimization, testing, and tooling to improve product quality
    • Be part of an active group of machine learning practitioners across Spotify

Where You'll Be

    • This position will be based in London
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Full-time
Senior
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Senior Data Scientist - Content Safety Analysis
Spotify
Dublin
Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day.

We are looking for a Senior Data Scientist to join the Content Platform Insights team. Content Platform is a central enabler for the Spotify business. We deliver a complete, available and enriched catalog of music, podcasts, videos and more. We provide the knowledge graph that accumulates differentiated understandings of creators, content, their attributes and their relationships. We ensure we can readily moderate and control the catalog to ensure a safe and trusted experience for consumers and to keep our platform free of infringement.

The successful candidate will join The Content Safety Analysis team (formerly known as Kinzen), which joined in October 2022 after our acquisition by Spotify! On joining Spotify, we renamed as Content Safety Analysis with a shared mission to scale our understanding of the global content that flows through the Spotify platform. So that experts can deliver the high quality leads and signals we need to make decisions which protect both safety AND expression. The CSA team consists of two data scientists today. They are looking to hire a senior data scientist to act as a mentor to the others as well as being able to drive the work of insights in an ambiguous space.

What You’ll Do

    • Work with Insights peers in other parts of the business to guide strategy, product, and process development
    • Collaborate with Product Management, Engineering, and Insights colleagues to optimise signal development, understand tool user behaviour and drive measurement as a first class citizen in our product development and decision-making
    • Support insight development for CSA's operational teams to help improve processes and ensure capacity is invested wisely
    • Optimise the application of prompts and large language models in automating the assessment of harmful content

Who You Are

    • You have 5+ years of experience building data science solutions
    • Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field
    • You have the technical competence to perform more advanced analytics
    • Prior experience working on NLP (or ideally Large Language Model) based projects and problems
    • Coding skills (such as Python, R or similar)
    • Analytics tools experience (such as SQL, Pandas, R, Spark or similar)
    • Data visualisation tools (such as Tableau, Qlik Sense, matplotlib, ggplot2 or similar)
    • You have extensive experience performing analysis with large datasets
    • You are an ambitious person who’s capable of tackling loosely defined problems and driving strategic impact
    • You are a communicative person that values building positive relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms
    • You have experience mentoring more junior data scientists to set them up for success
    • You thrive in a fast-paced, dynamic and high energy environment and are comfortable with ambiguity

Where You’ll Be

    • We’ve introducedWork From Anywhere to give you more options!
    • We are giving you the flexibility to choose to work from our office in Dublin or from home in Ireland depending on your preference
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Full-time
Senior
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Data Science Manager - Marketing
Spotify
New York, NY
Spotify is looking for a rockstar candidate to join the Marketing and Consumer Insights (MCI) team! 

You will support Spotify’s Marketing organization goal of building a globally loved brand and bringing the next generation of fans to Spotify. The primary duties of this role will be to lead the Marketing Analytics team in providing analytical support for our global Brand Marketing team. This means owning measurement of marketing’s ability to drive brand health and making recommendations to improve the effectiveness of marketing investments. 

You will be a trusted partner to our Brand Marketers, ensure the Marketing Analytics team focuses their efforts on the most impactful initiatives, and manage the technical and professional development of 3 direct reports.

You will also lead analytics engineering projects that help the rest of the MCI team get the data they need to deliver their work

What you'll do

    • Partner with Marketing leadership in strategy development, goal setting and budget planning
    • Perform analyses on large sets of data to extract actionable insights that will drive decisions around our global marketing investments
    • Provide end-to-end campaign support, from goal setting and measurement plan development, to in-campaign performance insights and optimization recommendations, and post-campaign evaluation and recommendations
    • Define experimentation roadmap to identify new growth opportunities for our marketing investments
    • Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and presentations
    • Lead a small team of Data Scientists and Analytics Engineers in MCI’s pursuit of becoming a world leading insights team for our marketing partners
    • Partner with the other MCI leads and their teams on projects supporting Spotify’s broader marketing organization
    • Lead cross-functional groups of insights professionals (think market researchers, analysts, product insights) to triangulate information across various sources

Who you are

    • Intellectually curious, open-minded, and enjoy working in a fast changing environment
    • A natural communicator, who focuses just as much on the delivery and the “so what” of your insights, as you do on the technical craft of extracting them
    • Effective at building strong, influential relationships with colleagues and partners, with demonstrated success in delivering impactful insights to executives
    • 10+ years of experience in an analytics and/or data science role, with 2+ years as a direct people manager 
    • Strong analytical skills, including analysis and modeling of big data using SQL, Python and/or R, statistics, A/B testing, and experimental design required
    • Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)
    • Comfortable working on a globally distributed team

Where you'll be

    • This role is located in the New York Tri-state area or east coast of the United States
The United States base range for this position is $134,326 - $191,765 plus equity (plus bonus or commission. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, 23 paid days off, 13 paid flexible holidays, paid sick leave.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Full-time
Senior
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Senior Data Scientist - Ad Technology
Spotify
New York, NY
Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

Our Ad Tech team is responsible for the success of Spotify’s freemium business model that allows us to deliver an amazing audio experience to more than 380 million users worldwide. Together we’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify.

This team builds and maintains listener, advertiser, and podcast publisher facing ad products and systems that enable these products. Our goal is to create an amazing ad experience for our listeners, while also bringing value to our advertisers and publishers. 

As a Senior/Data Science II in this group you will use the whole range of data science tools and capabilities to conduct analysis related to one or more of the following areas of focus:

-User-facing advertising product development
-Client-facing product development for advertisers and podcast publishers
-Platform and machine learning engineering performance

What You’ll Do

    • Perform analyses on large sets of data to extract practical insights that will help drive product, platform, and business decisions
    • Design and conduct A/B tests to drive iterative improvement to both user and advertiser metrics through efficient experimentation
    • Communicate data-driven insights and recommendations to key partners
    • Work closely with cross-functional teams of engineers, user researchers, product owners, designers, and business decision-makers who are passionate about Spotify’s success
    • Build lasting solutions to surface critical data and performance metrics
    • Help us develop our knowledge and practice around the development and evaluation ML driven and user-focused products
    • Develop individually to continue to grow your impact, and help mentor peers

Who You Are

    • You have 6+ years of experience in a similar data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject areas
    • You have technical competence to perform advanced analytics: coding skills for analytics and data extraction (such as SQL, Python, Pandas, R), data visualization skills (such as Tableau, matplotlib) to distill insights and statistical analysis skills to tease out patterns from noise
    • You have experience with experimentation, forecasting, and creating models that you help move into production
    • You have strong understanding of statistics and extensive experience using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modeling.
    • You value cross-disciplinary work and understand how to integrate qualitative research with your quantitative analysis
    • You effectively communicate with a wide range of cross-functional partners:  you able to both explain complex concepts to non-technical collaborators and have technical discussions with engineers
    • You are comfortable with ambiguity and fluidity: you are able to initiate, refine and drive projects to completion with minimal guidance, adapting to new learnings and changing contexts

Where You’ll Be

    • We are a distributed workforce enabling our band members to find a work mode that is best for them!
    • Where in the world? For this role, it can be anywhere in the Americas region in which we have a work location
    • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
    • Working hours? We operate within the Eastern Standard time zone for collaboration.
The United States base range for this position is $134236 - $191765, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. This range encompasses multiple levels. Leveling is determined during the interview process.  Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.


Full-time
Senior
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Machine Learning Engineering Manager - Amplify
Spotify
New York, NY
Our mission on the Advertising Product & Technology team is to build a next generation advertising platform that aligns with our unique value proposition for audio and video. We work to scale the user experience for hundreds of millions of fans and hundreds of thousands of advertisers. This scale brings unique challenges as well as tremendous opportunities for our artists and creators.

We are seeking a passionate Engineering Manager with deep machine learning expertise and strong leadership skills to lead a team that predicts advertiser outcomes – a central piece of Spotify’s ad strategy. We ask that our team members are both capable and willing to work within the Eastern Standard/Daylight time zones during our collaborative hours.

What You'll Do

    • Lead, mentor, and nurture a team of highly skilled Machine Learning Engineers, fostering a positive and productive work environment.
    • Provide technical guidance in machine learning, helping each engineer find the best direction for their work, spotting lurking problems, highlighting promising directions, and focusing the team’s efforts where they are most likely to succeed
    • Collaborate closely with Product counterparts to drive effective leadership and align our efforts with the broader group's goals.
    • Learn and use knowledge of the ad industry to expand your influence and vision beyond our immediate team
    • Contribute to the development of the technical vision and strategy for the machine learning systems powering our free product, which boasts over 300 million monthly active users.
    • Inspire, manage and lead the engineering culture of our group, so we can achieve our mission

Who You Are

    • You have PhD level expertise in a quantitative field and excitement about machine learning
    • You can draw on substantial depth and breadth of management experience to lead and grow a machine learning team
    • You have experience and passion for mentoring and encouraging collaborative teams and drawing out contributions from a variety of team members
    • You are continuously curious and learning as a leader
    • You care about data-driven development, reliability, and responsible experimentation
    • You’re familiar with the industry trends and can understand trade-offs of existing solutions
    • Ad domain expertise is a plus

Where You'll Be

    • We are a distributed workforce enabling our band members to find a work mode that is best for them!
    • Where in the world? For this role, it can be within the US region in which we have a work location and is within working hours.
    • Working hours? We operate within the Eastern US time zones for collaboration and ask that all be located in that time zone.
    • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
The United States base range for this position is $170,000 - $243,000, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(K) retirement plan, 23 paid days off, 13 paid flexible holidays, paid sick leave.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Full-time
Senior
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Data Scientist I, Finance Data & Insights
Spotify
New York, NY
The Finance Data & Insights (FiDi) team at Spotify provides support to Finance & Accounting teams through data insights, automation solutions, and ad-hoc reporting. We help to communicate technical and business requirements between internal and external stakeholders and serve as subject matter experts for Finance data. This position specifically supports music, audiobooks, licensing, and premium revenue analytics. 

What You'll Do:

    • Work with a cross-functional team of data analysts, engineers, and finance partners to maintain and develop systems and processes supporting accurate financial reporting and enabling Spotify’s strategic business decisions
    • Develop subject matter expertise in the Spotify royalty calculation, data pipelines, and accounting systems
    • Work with large data sets, solving complex problems in a fast-paced and dynamic environment
    • Partner with Finance team members to define requirements for ad-hoc data analysis and tests of new implementations
    • Drive process efficiencies through automation and delivery of data pipelines to enable self-service reporting and analytics for different teams within Finance
    • Work in an environment with a group of highly motivated individuals who are passionate about Spotify’s success

Who You Are:

    • You have at least 2+ years of experience working in data analytics
    • You have a passion for solving sophisticated problems through data analysis combined with a strong business and financial acumen.
    • You have the ability to communicate with both technical and non-technical teams to understand and define problems, and articulate proposed solutions
    • You have an eye for trends and the ability to reach meaningful conclusions that inform strategic business decisions
    • You have a degree in mathematics, statistics, computer science, economics or another quantitative field
    • You have the technical competence to perform advanced analytics over large data sets with experience in Python, SQL and/or other analytic tools (e.g. Pandas, R, SPSS, Bigquery, SAS) and visualization packages (e.g. Tableau, Streamlit, D3)

Where You'll Be:

    • This role will be based in the New York Office.
The United States base range for this position is $86,691 - 123,844, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Full-time
Junior
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Data Scientist, User Fraud
Spotify
New York, NY
We’re looking for a Data Scientist to join the band and help drive a data-first culture within a team focused on both analysis and ML. The team’s mission is to protect the integrity of the platform from undesired behaviors like account abuse and artificial stream manipulation, via research of trends and patterns related to user behavior and methods of consumption.

You’ll be a part of a team of Data Scientists, Machine Learning Engineers, and Data Engineers and will support the overall anti-abuse strategy at Spotify to effectively combat behavior that negatively impacts the experience of our artists, fans, and users. You will help us investigate anomalous trends, discover ways to use statistics and machine learning to improve our methods of detection, and identify unwanted behavior on the platform. Above all, your work will change the way the world experiences music and the method in which a billion fans will connect with a million artists.

This is a great way for somebody who specializes in the field of data science to jump in at the deep-end in one of the most exciting areas of the music industry.

What You'll Do

    • Investigate groups of fraudulent users and efficacy of new signals and detection methods with the aim of enhancing our detection capabilities
    • Apply your expertise in quantitative analysis, data mining, and the presentation of data to help automate, optimize and understand key business problems and solutions
    • Work closely with cross-functional teams of data and ML engineers, analysts, user researchers, product managers and designers
    • Build and analyze dashboards, reports to empower operational and exploratory data analysis
    • Communicate insights and recommendations to key customers, engineering and product partners

Who You Are

    • A Bachelor's degree (Master’s preferred) in Data Science, CS, or another quantitative field
    • You have a minimum of 4 years work experience with an emphasis on investigative data analysis, anomaly detection, and data pipelines
    • You have a deep understanding of numbers, a strong interest in research, and an experienced and mature business sense
    • Strong analytical and problem solving ability
    • You have expert level SQL and intermediate level Python skills
    • An interest in Scala is a big plus
    • Strong communication and data presentation skills (such as Tableau and / or Data Studio)
    • Experience deriving and communicating insights from complex data
    • You are a communicative person that values building strong relationships with colleagues and multiple partners, and have the ability to explain complex topics in simple terms
    • You enjoy collaborative work in a complex, data-driven, and creative environment
    • Passionate about music, data, and the captivating relationship between the two

Where You'll Be

    • We are a distributed workforce enabling our band members to find a work mode that is best for them!
    • Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours.
    • Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all team members be located in that time zone.
    • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences.
The United States base range for this position is $101,240 - $144,628, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Full-time
Mid Level