EPAM is committed to providing our global team of more than 41,150 EPAMers with inspiring careers from day one. EPAMers think creatively and lead with passion and honesty. Our people are the source of our success. We value collaboration, work in partnership with our customers, and strive for the highest standards of excellence. In today’s market conditions, we’re supporting operations for hundreds of clients around the world remotely. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.
 

DESCRIPTION

You are curious, persistent, logical and clever – a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a Lead Data Scientist. Scroll down to learn more about the position’s responsibilities and requirements.

We are looking for Lead Data Scientist to join our growing team remotely working in EST or CST time zone only.

REQ #: 230398628

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 large projects
• Create Data Science solution architecture
• Propose Data Science holistic solutions for customer problems

REQUIREMENTS

• BS degree in an associated field or other advanced certification along with equivalent experience
• 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
• 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
• In-depth domain understanding and ability to acquire new

WHAT WE OFFER

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability (Company Provided)
• Life and AD&D Insurance (Company Provided)
• Employee Assistance Program
• Unlimited access to LinkedIn learning solutions
• Matched 401(k) Retirement Savings Plan
• Paid Time Off
• Legal Plan and Identity Theft Protection
• Accident Insurance
• Employee Discounts
• Pet Insurance