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.
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.
- Deep expertise working across structured and unstructured data.
- Expert-level, hands-on experience and strategic understand 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.
- 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.
Nice to Have
- At least 5+ years in gaming, media, or interactive entertainment is strongly preferred.
- Curiosity about games, player psychology, and generative AI — and a desire to work at their intersection.
