Senior Data Scientist
Primary stack
Nice to have's
Job description
About the Position
We are looking for a Senior Data Scientist with expertise in classical Machine Learning and proven production experience in one or more of the following domains: NLP (Natural Language Processing), CV (Computer Vision), Time Series, MLE/MLOps (Machine Learning Engineering/Operationalization) and Recommendation Systems.
In this role, you'll have the opportunity to work on diverse projects. If you thrive on tackling new challenges, we encourage you to apply and join our team.
Responsibilities
- Collaborate with EPAM's clients and internal teams to implement AI/ML-driven solutions
- Propose solutions and strategies to tackle business challenges
- Work closely with cross-functional teams to deliver business value to our clients
- Stay updated with the latest advancements in Data Science and Artificial Intelligence
Requirements
- 5+ years of production experience in Data Science / Machine Learning
- Expertise in Deep Learning (PyTorch or TensorFlow)
- Proficiency in Python ecosystem and data science libraries (pandas, sklearn, NumPy)
- Expert knowledge of at least one domain from the list: Natural Language Processing, Machine Learning Engineering, Computer Vision, Time Series, Recommendation Systems
- Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences
- B2+ English, both verbal and written
Nice to Have
- Familiarity with at least one Cloud provider (AWS, GCP, Azure)
We Offer
- Opportunity to work on diverse and challenging projects
- Collaborative environment with EPAM's clients and internal teams
- Continuous learning and staying updated with the latest advancements in Data Science and Artificial Intelligence
About the Company
EPAM Systems is a global software engineering and product development company, delivering digital platforms and solutions to the world's leading organizations.
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EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.