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.
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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceanalyticsmachine learningevent taxonomiesbehavioral analytics frameworksreal-time streamingdata lakesdata warehousesMLOps pipelinesAI techniques

Soft Skills

quantitative skillscommunication skillsinfluencing skillsownership mindsetbuilder's mindsetcuriositystrategic thinkingmentoring