Data Scientist (Real-Time Sports Data Experience Required)
Summary
Build AI-driven predictive models for real-time sports data to power betting analytics in a fast-growing iGaming startup.
Eastern Peak is looking for an experienced Data Scientist to join a fast-growing gaming-tech company building an AI-driven analytics and prediction engine on top of real-time sports data feeds. The team is currently small and hands-on, working on an MVP ahead of a funding round, with football as the initial focus sport, followed by tennis and American football.
What You'll Do:
Work with large-scale, real-time sports data feeds (odds, live match events, player/team stats) from various providers.
Design and build an intelligent algorithmic layer on top of raw real-time sports data to generate predictive insights and models.
Develop and iterate on AI/ML-driven models that turn continuous streams of sports data into actionable, betting-relevant outputs.
Work closely with a small, focused product team to help shape and ship the MVP.
Adapt models and pipelines as the product expands from football into additional sports (tennis, American football, etc.).
What We're Looking For:
4+ years of hands-on Data Science experience.
Proven experience working with large, real-time sports datasets, the ability to think in terms of live, fast-changing sporting events rather than financial time series.
Hands-on experience with at least one major sports data provider (Sportradar, Stats Perform, Sportmonks, Huddle, LSports, or similar)
Strong applied Data Science / ML background, able to independently build predictive algorithms from raw data feeds.
Experience within the sports iGaming industry.
Will be a plus:
Background from a strong technical/analytics academic program.
Experience building AI-native solutions (e.g., LLM-based or agentic tooling) on top of structured/real-time data.
Prior experience in a startup or MVP-stage environment ahead of a fundraising milestone.