Senior Data Scientist

We're seeking an experienced Senior Data Scientist to become part of our organization. In this position, you'll have the chance to engage in purposeful, data-centric initiatives within a cooperative and progressive setting. As part of our team, 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 deliver meaningful results, this role provides an excellent foundation for career advancement.

Responsibilities

• Create and build analytical models to meet business and technical goals
• Work alongside cross-functional teams to ensure outputs are delivered punctually and satisfy quality benchmarks
• Participate in strategic conversations, providing insights that influence the direction of data-related projects
• Evaluate the work of teammates, offering helpful feedback to maintain high analytical standards
• Identify and solve complicated analytical problems that emerge during project execution
• Help develop junior colleagues by passing on knowledge that builds their capabilities
• Engage in planning sessions, helping define scope and offering reliable time projections
• Keep up with emerging developments in the field and incorporate useful new methods into regular work
• Document essential methodologies and discoveries clearly to enable ongoing knowledge transfer
• Partner with stakeholders to define clear goals and confirm finished work meets requirements

Requirements

• At least 3 years of applicable work experience
• Hands-on familiarity with AI concepts and tools, used to improve analytical outcomes
• Robust expertise in Data Science, capable of deriving valuable insights from complicated 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 thorough analytical efforts
• English proficiency 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