Sports Data Lead - Alternative Data
Unlok
Unlok is building a next-generation real-time and historical data platform for event-driven markets.
We're looking for a Sports Data Lead to build our sports data foundation from the ground up.
What You'll Do
- Source and evaluate sports data feeds, APIs, and providers
- Build canonical datasets across teams, players, leagues, games, and events
- Map and reconcile data across multiple sources
- Own data quality, accuracy, latency, and historical integrity
- Define rules for postponements, cancellations, corrections, and other edge cases
- Work closely with engineers to build scalable ingestion and data pipelines
- Expand coverage across major global sports
What We're Looking For
- 4+ years working professionally with sports data
- Deep understanding of sports events, schedules, results, and data structures
- Experience with Sportradar, Stats Perform/Opta, Genius Sports, SportsDataIO, TXODDS, or similar
- Strong SQL + practical Python
- Experience with APIs, data normalization, and entity resolution
- Exceptional attention to detail and data-quality mindset
Bonus
- Experience with real-time data pipelines and streaming systems
- Experience in betting, financial, or prediction markets
- Familiarity with ClickHouse, PostgreSQL, Kafka, or AWS
- PhD in a relevant field is a plus
Not a sports betting, handicapping, or trading-strategy role.
If you love sports data and want to build something from scratch , we'd love to hear from you.
Vacancy posted 16 hours ago
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