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Currently hiring for 4 jobs
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Data Scientist
Digital Turbine
Petach Tikva, Israel
At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.

We are the largest independent operator of app growth and monetization platforms in the world. That is, we help mobile game developers get more players for new games, and make more money on games they have already created.

Our business is based on real-time traffic, where having the best model yields higher-than-proportional benefits. As a data scientist, uplifting a model’s accuracy by even a 1% improvement can lead to millions of dollars in earnings.

Responsibilities:

    • Building Machine Learning (ML) models and deploying them to production on a giant scale (we serve 2bn devices globally and handle 200bn requests every day). 
    • Using ML models which are at the heart of our technology to serve the following use-cases:
    • ○Predicting mobile users’ favorite games based on their gaming and behavioral history
      ○Predicting the value of the user’s in-app transactions for mobile game developers 
      ○Optimizing our bidding prices in real-time auctions (RTB)
      ○Optimizing infrastructure utilization
      ○Detecting and eliminating fraud
      ○Detecting image content in ads
    • Collaborating with super-smart employees from different domains - Backend, Data Engineering, Frontend, Product, Business and other Data Scientists who work on building ML models for our company
    • Working with the following cutting-edge technologies:
    • ○AWS, GCP
      ○Google BigQuery
      ○Databricks and Spark
      ○Python and classic ML libraries
      ○, PyTorch Lightning
      ○Experiment Management platforms such as: MLFLOW, Optuna

Requirements:

    • BSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning or related fields
    • 3 - 5 years of experience as a Data scientist 
    • Coding in Python and SQL - MUST
    • Experience with ML models around tabular datasets - MUST
    • Experience with cloud environments
    • Experience with A/B testing and statistical analysis
    • Knowledge of basic and advanced concepts of Machine Learning
    • Fluent English
    • Ability to talk with other engineers

Advantages

    • Experience with ML models in production
    • Experience in Data Science in Ad-Tech
    • Familiarity with Spark, Databricks, MLFLOW, and Big Data related technologies - a strong advantage
    • Examples of great business impact that you have created

#LI-LO1 #LI-Hybrid


About Digital Turbine:

Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices.

The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities serving top agency, app developer, and advertising markets. Listed on Deloitte Technology Fast 500 for six consecutive years since 2015 and winner of Austin Chamber of Commerce’s Company Culture in 2020.

Digital Turbine is an equal opportunity employer committed to building a diverse and inclusive team. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building this culture within our teams makes us better collaborators and partners, driving better outcomes.

To view our Global Recruitment Privacy Notice, please click here.
Full-time
Mid Level
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Senior Data Scientist
Digital Turbine
Warsaw, Poland
At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.

What you will do as a Senior Data Scientist at DT

 Build Machine Learning models and deploy them to production on a gargantuan scale (We serve 2bn devices globally and handle 200bn requests every day). ML models are at the heart of our technology and serve the following use-cases:
 
○ Predict mobile users’ favorite games based on their previous
gaming history
Predict the value of the user (in-app transactions) for mobile
game developers 
Optimize our bidding prices in real-time auctions 
Optimize infrastructure utilization
Detect and eliminate fraud
Detect image content in ads

 Outsmart other very smart mathematicians and coders who build models for our competition. Our business is based on auctions, where having the best model yields higher-than-proportional benefits. Even a 1% improvement in model accuracy can lead to millions of dollars in earnings. Read more about the Data Science role in our business in an interview with Pawel Godula, Head of Data Science at Digital Turbine.

 Learn data science from a great team of Data Science researchers and engineers. We have a Kaggle Grandmaster, Kaggle Master, and Kaggle experts in the team, as well as a brilliant and accomplished engineering team to support us.

Minimum Requirements:

 Coding in Python and SQL
 Raw intellectual horsepower (aka High IQ)
 Ability to talk to other engineers
 Self-motivation to achieve something remarkable
 Knowledge of basic concepts of Machine Learning
 
 Difference between supervised and unsupervised learning
Train - validation - test split
Accuracy metrics
○ Model classes (Gradient Boosted Decision Trees- Our favourite
LGBM and XG Boost, Neural Networks, Regression)

*These are absolutely required

It would be amazing if you had:

 Track record on Kaggle (please share your profile)
 Experience with ML models in production(###---SUPER AWESOME—###)
 • Experience in data science and ad tech


About Digital Turbine:

Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices.

The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities serving top agency, app developer, and advertising markets. Listed on Deloitte Technology Fast 500 for six consecutive years since 2015 and winner of Austin Chamber of Commerce’s Company Culture in 2020.

Digital Turbine is an equal opportunity employer committed to building a diverse and inclusive team. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building this culture within our teams makes us better collaborators and partners, driving better outcomes.

To view our Global Recruitment Privacy Notice, please click here.
Full-time
Senior
Logo
Senior Data Scientist (Domain Expert)
Digital Turbine
Warsaw, Poland
At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.

Senior Data Scientist - (Digital Turbine, Warsaw)

We are the largest independent operator of app growth and monetization platforms in the world. That is, we help mobile game developers get more players for new games, and make more money on games they have already created.

Our business is based on real-time traffic, where having the best model yields higher-than-proportional benefits. As a data scientist, uplifting a model’s accuracy by even a 1% improvement can lead to millions of dollars in earnings.

What you have achieved..

 • Building Machine Learning (ML) models and deploying them to production on a giant scale (we serve 2bn devices globally and handle 200bn requests every day).

Using ML models which are at the heart of our technology to serve the following use-cases:
- Predicting mobile users' favourite games based on their gaming and behavioural history
- Predicting the value of the users' in-app transactions for mobile game developers
- Optimizing our bidding prices in real-time auctions (RTB)
- Optimizing infrastructure utilization
- Detecting and eliminating fraud
- Detecting image content in ads

Collaborating with super-smart employees from different domains - Backend, Data Engineering, Frontend, Product, Business and other Data Scientists who work on building ML models for our company

Working with the following cutting-edge technologies:
- AWS, GCP
- Google, BigQuery
- Databricks and Spark
- Python and classic ML libraries
- PyTorch, PyTorch Lightning
- Experiment Management platforms such as: MLFLOW, Optuna

Requirements

BSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning or related fields
Experience in the AdTech industry (AdNetwork specifically) - MUST
3 - 7 years of experience as a Data scientist 
Coding in Python and SQL - MUST
Experience with ML models around tabular datasets - MUST
Experience with cloud environments
Experience with A/B testing and statistical analysis
Knowledge of basic and advanced concepts of Machine Learning
Fluent English
Ability to talk with other engineers

Advantages

Experience with ML models in production
Familiarity with Spark, Databricks, MLFLOW, and Big Data related technologies - a strong advantage
Examples of great business impact that you have created


About Digital Turbine:

Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices.

The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities serving top agency, app developer, and advertising markets. Listed on Deloitte Technology Fast 500 for six consecutive years since 2015 and winner of Austin Chamber of Commerce’s Company Culture in 2020.

Digital Turbine is an equal opportunity employer committed to building a diverse and inclusive team. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building this culture within our teams makes us better collaborators and partners, driving better outcomes.

To view our Global Recruitment Privacy Notice, please click here.
Full-time
Senior
Logo
Data Scientist
Digital Turbine
Petach Tikva, Israel
At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app publishers and advertisers with powerful ads and experiences that captivate consumers, fuel performance, and help telecoms and OEMs supercharge awareness, acquisition, and monetization. In a rapidly evolving industry, we are constantly innovating and creating better paths of discovery to connect consumers, publishers, and advertisers across the mobile ecosystem.

We are the largest independent operator of app growth and monetization platforms in the world. That is, we help mobile game developers get more players for new games, and make more money on games they have already created.
Our business is based on real-time traffic, where having the best model yields higher-than-proportional benefits. As a data scientist, uplifting a model’s accuracy by even a 1% improvement can lead to millions of dollars in earnings.

Responsibilities:

    • Building Machine Learning (ML) models and deploying them to production on a giant scale (we serve 2bn devices globally and handle 200bn requests every day). 
    • Using ML models which are at the heart of our technology to serve the following use-cases:
    • ○Predicting mobile users’ favorite games based on their gaming and behavioral history
      ○Predicting the value of the user’s in-app transactions for mobile game developers 
      ○Optimizing our bidding prices in real-time auctions (RTB)
      ○Optimizing infrastructure utilization
      ○Detecting and eliminating fraud
      ○Detecting image content in ads
    • Collaborating with super-smart employees from different domains - Backend, Data Engineering, Frontend, Product, Business and other Data Scientists who work on building ML models for our company
    • Working with the following cutting-edge technologies:
    • ○AWS, GCP
      ○Google BigQuery
      ○Databricks and Spark
      ○Python and classic ML libraries
      ○PyTorch Lightning
      ○Experiment Management platforms such as: MLFLOW, Optuna

Requirements:

    • BSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning or related fields
    • Experience in the AdTech industry (AdNetwork specifically) - must
    • 3 - 7 years of experience as a Data scientist 
    • Coding in Python and SQL - MUST
    • Experience with ML models around tabular datasets - MUST
    • Experience with cloud environments
    • Experience with A/B testing and statistical analysis
    • Knowledge of basic and advanced concepts of Machine Learning
    • Fluent English
    • Ability to talk with other engineers

Advantages

    • Experience with ML models in production
    • Familiarity with Spark, Databricks, MLFLOW, and Big Data related technologies - a strong advantage
    • Examples of great business impact that you have created

#LI-LO1 #LI-Hybrid


About Digital Turbine:

Digital Turbine (NASDAQ: APPS) powers superior mobile consumer experiences and results for the world’s leading telcos, advertisers and publishers. Our end-to-end platform uniquely simplifies the ability to supercharge awareness, acquisition and monetization — connecting our partners to more consumers, in more ways, across more devices.

The company is headquartered in Austin, Texas, with global offices in New York, Los Angeles, San Francisco, London, Berlin, Singapore, Tel Aviv, and other cities serving top agency, app developer, and advertising markets. Listed on Deloitte Technology Fast 500 for six consecutive years since 2015 and winner of Austin Chamber of Commerce’s Company Culture in 2020.

Digital Turbine is an equal opportunity employer committed to building a diverse and inclusive team. We welcome people of different backgrounds, experiences, abilities, and perspectives. We embed diversity in our mindset, products, and teams to empower an inclusive, equitable, and culturally fluent environment. Building this culture within our teams makes us better collaborators and partners, driving better outcomes.

To view our Global Recruitment Privacy Notice, please click here.
Full-time
Mid Level