Senior Data Scientist
Description
We are hiring a Senior Data Scientist to apply AI and Data Science expertise to transform messy, high-volume data into dependable insights for decision-making. You will collaborate across teams, document methods, and help guide planning while maintaining strong analytical standards. Submit your application to make an impact with data-driven solutions!
Responsibilities
- Create and implement analytical models aligned with business and technical objectives
- Collaborate with cross-functional partners to deliver on time and meet quality expectations
- Provide input in strategic discussions to influence the direction of data initiatives
- Evaluate peer deliverables and offer actionable feedback to uphold analytical best practices
- Troubleshoot and resolve challenging analytical problems throughout project delivery
- Coach junior colleagues through knowledge sharing that supports their growth
- Contribute to scope planning and produce reliable effort and timeline estimates
- Keep up with new developments in the field and incorporate useful approaches into your work
- Document key methods and findings clearly to enable long-term knowledge sharing
- Engage stakeholders to define goals and confirm deliverables match expectations
Requirements
- Minimum 3 years of relevant professional experience
- Practical familiarity with AI concepts and tools used to enhance analytical outcomes
- Demonstrated strength in Data Science and the ability to interpret complex datasets effectively
- Python proficiency for building and implementing models and data-driven solutions
- Java experience for developing and integrating applications that work with data
- Strong grounding in Mathematics, Statistics, and Computer Science for rigorous analytical work
- English fluency at B2 (Upper-Intermediate) level or higher, both written and spoken
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn