EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
No less important is the safety, well-being, and experience of our applicants. Therefore, until further notice, all EPAM employment interviews will be conducted remotely. Our recruitment professionals and hiring managers are standing by to ensure a robust and engaging virtual candidate experience. We look forward to speaking with you!
Join our team as Senior Data Scientist to work with some of the biggest EPAM customers!
Every business has data, however, to turn that information into actionable items and into a competitive advantage. As a Senior Data Scientist it is your duty to create the tools and models that will allow businesses to take smart data driven decisions that allow them to solve present challenges and be prepared for the future.

REQUIREMENTS

• Aptitude for problem solving
• Data focused applied mathematics (statistical analysis, machine learning)
• Decent communication / presentation skills (including working English fluency)
• RDBMS/SQL knowledge
• Programming experience (Python preferred)
• Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc
• Big Data stack; Spark / MLlib
• Proficiency with at least one of the Cloud providers
• Experience with Data Science solutions productionalization
• Data visualization skills
• NLP/text mining/computer vision
• Bachelor’s/Master’s Degree in Computer Science, Math, Applied Statistics or a related field
• A few years of experience in data mining, statistics, or machine learning

• Convert large volumes of structured and unstructured customer data using advanced analytical solutions
• Use and fit different mathematical and econometric models, develop descriptive and predictive models that deliver better decisions
• Turn analyzed data into actionable insights and business value
• Create high-quality data visualizations
• Communicate effectively with different departments and roles (product managers, engineers) to discuss complex data-driven findings and technical matters
• Educate and train others on Data Science related matters
• Estimate, plan and coordinate the delivery of moderate sized projects
• Evaluate and select Data Science tools and libraries
• Create Data Science solution architecture
• Propose holistic Data Science solutions for customers problems