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.ResponsibilitiesDesign A/B tests to assess system performance and player engagementApply segmentation analysis to categorize players by demographics, playing patterns, and content interaction rolesBuild machine learning models to improve content recommendations for usersStreamline workflows and maintain reproducibility across data science projectsUtilize Databricks on AWS to process and manage extensive data efficientlyWork with product teams to define objectives and deliver actionable insightsIncorporate behavioral analytics to predict and analyze player engagement trendsRequirements5+ years of experience in data science, machine learning, or a relevant fieldProficiency in A/B testing methods, PySpark, and data science reproducibility practicesExpertise in Databricks, AWS, and processing large-scale dataBackground in behavioral or player analytics within gaming or equivalent sectorsSolid foundation in customer or segment-based analytics and predictive modelingStrong written and verbal English communication skills (B2+)We offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInSeniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation Technology, Engineering, and ResearchIndustriesSoftware Development, IT Services and IT Consulting, and Technology, Information and Internet
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