Senior Data Scientist, AI Mobile Game
Location
United States
Posted
120 days ago
Salary
$70 - $85 / hour
10 yrs expEnglishBig QueryKafka
Job Description
• 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.
Job Requirements
- 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.
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