Data Scientist
Необхідні навички
Eastern Peak is looking for an experienced Data Scientist to join a gaming-tech product.
Key Qualifications:
● 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 betting / iGaming industry.
● Excellent English (spoken and written) — mandatory.
Буде плюсом
Preferred Qualifications:
● 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.
Пропонуємо
We offer:
● А place with friendly environment where you can reach your full potential and grow your career.
● Flexible work schedules.
● Work from home.
● Social package: paid sick leave and vacation, medical insurance, legal support, etc.
Обов’язки
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.)
Про проєкт
The client currently operates a subscription-based platform offering football predictions, tips, and betting guides to everyday bettors, and is now investing in the next stage of the product: an AI-driven analytics and prediction engine built 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.
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