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!

Learn more about our Data Practice here.

DESCRIPTION

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.

What You’ll Do

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

What You Have

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