We are seeking a Lead Data Scientist to guide the creation and deployment of machine learning solutions designed to boost player engagement.

You will collaborate with cross-functional teams to interpret player behavior, create user segmentation strategies, and refine content recommendation systems.

 

Responsibilities

• Design A/B tests to assess system performance and player engagement
• Apply segmentation analysis to categorize players by demographics, playing patterns, and content interaction roles
• Build machine learning models to improve content recommendations for users
• Streamline workflows and maintain reproducibility across data science projects
• Utilize Databricks on AWS to process and manage extensive data efficiently
• Work with product teams to define objectives and deliver actionable insights
• Incorporate behavioral analytics to predict and analyze player engagement trends

 

Requirements

• 5+ years of experience in data science, machine learning, or a relevant field
• Proficiency in A/B testing methods, PySpark, and data science reproducibility practices
• Expertise in Databricks, AWS, and processing large-scale data
• Background in behavioral or player analytics within gaming or equivalent sectors
• Solid foundation in customer or segment-based analytics and predictive modeling
• Strong written and verbal English communication skills (B2+)

 

We offer

• 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