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

This job is about turning (big) data into actionable knowledge, which requires a blend of scientific, problem solving, analytical, technical, and communication skills. The ideal candidate will solve complex business problems using analytics techniques and machine learning. More specifically, they will Identify business problems, Find the right data and methods to address them, Build and validate analytical models, Present findings in a clear and informative way.

REQ #: 218319779

WHAT YOU’LL DO

• Convert large volumes of structured and unstructured customer data using. advanced analytical solutions
• 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

• 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/science tools and libraries such as NumPy / SciPy / scikit-learn / pandas / matplotlib / pycaret / tidyverse / etc
• Big Data stack; Spark / MLlib preferred
• Proficiency with at least one of the Cloud providers
• AIOps/MLOps knowledge and experience (preferred)
• Experience with Data Science solutions productionization
• Data visualization skills
• NLP/text mining
• Bachelor’s/Master’s Degree in Computer Science, Math, Applied Statistics or a related field
• A learning mindset: an appetite to acquire and apply new concepts and tools
• Coaching abilities: experience working with junior to mid-level data scientists and software engineers

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