Lead Data Scientist
Posted Updated
We're seeking an experienced Lead Data Scientist to become part of our organization. In this position, you'll have the chance to engage in purposeful, data-centered initiatives inside a cooperative and innovative setting. As a team member, you'll join colleagues who prioritize analytical precision, ongoing education, and the hands-on use of current technology. For those enthusiastic about extracting insights from intricate data and helping build impactful solutions, this role provides a solid foundation for career development.
Responsibilities
- Design and implement analytical models addressing business and technical goals
- Partner with cross-functional teams to ensure deliverables are finished punctually and meet quality benchmarks
- Participate in strategic conversations, providing input that helps guide data-focused initiatives
- Evaluate colleagues' work, offering constructive feedback to maintain sound analytical standards
- Explore and address complex analytical issues that emerge during the project lifecycle
- Help junior team members grow by sharing knowledge that builds their capabilities
- Engage in planning sessions, helping define scope and offering accurate time estimates
- Keep up with emerging trends in the field and incorporate useful new methods into daily tasks
- Keep thorough documentation of essential methodologies and findings to enable long-term knowledge transfer
- Collaborate closely with stakeholders to set clear goals and ensure finished work meets expectations
Requirements
- At least 5 years of relevant professional experience
- Hands-on familiarity with AI concepts and tools, used to improve analytical solutions
- Robust background in Data Science, capable of deriving meaningful insights from complex datasets
- Skilled in Python for creating and deploying data-driven models and solutions
- Background in Java for building and integrating data-related applications
- Strong grounding in Mathematics, Statistics, and Computer Science to underpin rigorous analytical work
- Fluent English communication abilities at B2 level or above
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