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Wolf Games · 2 months ago

Sr. Data Scientist, AI Mobile Game

United States

Full-time

Remote

Senior Level, Lead/Staff

10+ years exp

Wolf Games is building a platform for generative entertainment universes, focusing on collaborative real-time experiences. They are seeking a Principal Data Scientist to lead and design the data strategy and infrastructure for their gaming ecosystem, enhancing player experience through innovative data utilization.

Artificial Intelligence (AI)ComputerGamingVideo Games

Responsibilities

Own, define, and guide the implementation of our data collection strategy and governance across all titles and platforms

Design and specify a scalable, real-time pipeline for ingesting, processing, and analyzing gameplay and engagement events which will be built by the engineering team

Build the models and specify the data platforms that translate raw player data into actionable insights for both humans (designers, producers) and machines (AI training and evaluation)

Design and own the company-wide experimentation frameworks that help us measure fun, engagement, and narrative effectiveness

Partner with executive and creative leadership to identify trends in player behavior across distribution channels and surface strategic, high-level learnings that guide where and how we launch

Shape how Wolf Games measures success — help us understand and act on the signals that capture what keeps players coming back

Act as the strategic authority for all data systems, setting standards for code, tools, and infrastructure, and mentoring future team members as the team grows

Qualification

Data scienceMachine learningData architectureBehavioral analyticsReal-time data processingCuriosity about gamesCommunication skillsOwnership mindset

Required

10+ years of experience in data science, analytics, and machine learning, with a demonstrable track record of leading data science initiatives from concept to production

At least 5+ years in gaming, media, or interactive entertainment is strongly preferred

Deep expertise working across structured and unstructured data

Proven experience designing and consulting on event taxonomies and leading behavioral analytics frameworks for digital experiences, ideally from scratch

Expert-level, hands-on experience and strategic understanding of modern data architectures (e.g., real-time streaming with Kafka/Kinesis, data lakes/warehouses like Snowflake/BigQuery, feature stores, MLOps pipelines)

A proven track record of applying machine learning or AI techniques to production systems using real-world user data — for personalization, content recommendation, or automated content evaluation

The ability to own the entire data lifecycle, from high-level architectural strategy down to implementation and iteration

Curiosity about games, player psychology, and generative AI — and a desire to work at their intersection

Exceptional quantitative and communication skills: you can influence technical and creative executives and drive better decisions with data-backed storytelling

A true ownership and builder's mindset: you're excited to define best practices, select and implement tools, and help shape our long-term data and AI strategy from the ground up