Senior Data Scientist

We're seeking a capable Senior Data Scientist to become part of our organization. This role presents the chance to contribute to meaningful, data-centered projects within a cooperative and innovation-minded environment. You'll join a team that places value on analytical precision, continuous skill-building, and real-world application of modern technology. For someone passionate about extracting insights from intricate data while helping deliver impactful solutions, this position offers a solid foundation for career growth

Responsibilities

• Build and apply analytical frameworks that address both business and technical requirements
• Partner with teams across different functions to ensure work is finished punctually and meets quality expectations
• Participate in strategic conversations, sharing input that helps direct data-related initiative outcomes
• Assess work produced by fellow colleagues, offering constructive notes that maintain strong analytical standards
• Diagnose and resolve intricate analytical problems that emerge throughout the project's lifecycle
• Help junior colleagues grow by passing along knowledge that builds their skillset
• Engage in planning conversations, assisting with scope outlines and delivering reliable time projections
• Keep pace with changing trends across the field and incorporate beneficial new methods into regular work
• Preserve organized documentation of significant methodologies and discoveries to support ongoing knowledge sharing
• Collaborate directly with stakeholders to define clear goals and confirm finished work matches expectations

Requirements

• At least three years of applicable, hands-on professional background
• Hands-on familiarity with AI principles and tools, used to strengthen analytical solution development
• Strong background in Data Science, capable of drawing meaningful conclusions from complicated datasets
• Advanced command of Python for developing and deploying data-centered models and solutions
• Background working with Java for building and connecting data-related applications
• Firm grounding in Mathematics, Statistics, and Computer Science to support thorough analytical efforts
• Confident English communication abilities at a 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