Overview
We are seeking a Senior Data Scientist to lead the design and implementation of machine learning solutions to drive increased player engagement. You will collaborate with cross-functional teams to assess player behavior, establish user segmentation strategies, and refine content recommendation systems.
Responsibilities
- Develop A / B test plans to assess system performance and player engagement
- Apply segmentation strategies to analyze players based on demographics, behavior, and content interaction roles
- Create machine learning models to improve content recommendations for users
- Enhance workflows to ensure reproducibility in data science initiatives
- Use Databricks on AWS to process large-scale data effectively
- Partner with product teams to align objectives and deliver insights that can be acted upon
- Apply behavioral analytics to predict and assess player engagement
Requirements
Minimum 3 years\' professional experience in data science, machine learning, or a related domainProficiency in A / B testing methodologies, PySpark, and reproducible data science practicesHands-on expertise with Databricks and AWS for processing large-scale datasetsKnowledge of behavioral or player analytics within gaming or comparable industriesBackground in customer or segment-based analytics paired with predictive modelingStrong written and spoken English communication skills (B2+)We offer
International 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 level
Mid-Senior levelEmployment type
Full-timeJob function
Information Technology, Engineering, and ResearchIndustries
Software Development, IT Services and IT Consulting, and Technology, Information and Internet#J-18808-Ljbffr