If you've ever dreamt in code and danced with data divine,
A master of machine learning, weaving algorithms so fine,
From Scikit-learn to Python, TensorFlow to PyTorch,
Juggling libraries and models, like a juggler's fiery torch,
If you've tamed the wild datasets, wrangled them with grace,
Preprocessed and feature-engineered, every challenge you did face,
From supervised to unsupervised, you've conjured models galore,
And with evaluation metrics, their performance you did explore,
If you've battled big data monsters, with Spark’s might,
Scaling up your solutions, from dawn to starry night,
And in your quest for knowledge, you've ventured far and wide,
Exploring the vast realm of AI, with curiosity as your guide,
If you can charm both techies and muggles, with insights that astound,
Translating complex incantations, making magic all around,
Then, my friend, it's crystal clear, you're the one we're dreaming of,
Cast your spell, send us your resume and cover letter full of love.
At Qloo, we are dedicated to harnessing the power of data and machine learning to drive innovation and solve complex problems. Our team is composed of top-notch engineers and scientists who are passionate about creating data-driven solutions that make a lasting impact. We are currently seeking an experienced Data Scientist to join our growing team and help us advance our mission.
As a Data Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You will collaborate with cross-functional teams and work on a diverse range of projects, from data exploration and model development to the deployment and monitoring of machine learning systems.
+ Develop, test, and deploy machine learning models and algorithms.
+ Conduct data analysis, preprocessing, feature engineering to optimize the performance of NLP and machine learning models.
+ Collaborate with cross-functional teams, including software engineers and data engineers to integrate natural language processing and ML models into production systems.
+ Evaluate and monitor the performance of ML models.
+ Keep up-to-date with the latest developments in data science and machine learning to identify new opportunities and techniques.
+ Present findings and insights to stakeholders, both technical and non-technical, in a clear and concise manner.
+ Contribute to the development of best practices and guidelines for data science and machine learning within the company.
+ Bachelor’s degree or higher (Ph.D is a plus) in Computer Science, Statistics, Engineering, Applied Mathematics, Physics or a related field.
+ Proven experience in data science and machine learning.
+ Proficiency in Python and ML & DL frameworks (TensorFlow, PyTorch, or Scikit-learn).
+ Deep understanding of machine learning algorithms and experience with various model validation and evaluation metrics.
+ Excellent analytical and problem-solving skills.
+ Familiarity with big data technologies such as PySpark or similar tools is a plus.
+ Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and present complex ideas to both technical and non-technical audiences.
+ Competitive salary and benefits package, including health insurance, retirement plan, and paid time off.
+ Opportunities for professional development and growth.
+ A collaborative and supportive work environment: Experience a culture that fosters teamwork, open communication, and mutual respect, where your ideas are valued and your contributions recognized.
+ Work-life balance: We prioritize a healthy work-life balance, offering flexible work arrangements, remote and hybrid work options, and encouraging employees to maintain a well-rounded lifestyle.