Sleeper · 10 hours ago
Data Scientist - Risk and Trading (Daily Fantasy Sports)
United States
Full-time
Remote
Mid Level
$75K/yr - $150K/yrSleeper is one of the fastest growing sports platforms in the US, specializing in Fantasy Sports. The company is seeking a Data Scientist to support its risk and trading function by conducting data analysis, developing predictive models, and automating processes to enhance user experience in Daily Fantasy Sports.
eSportsFantasy SportsMessagingMobileSports
Responsibilities
Support risk and liability management with respect to Sleeper’s DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights
Develop predictive models and algorithms to better understand Sleeper’s real-time liability, including risk exposure related to specific markets and events
Conduct data wrangling, processing and cleaning operations, and design processes, as well as tools for monitoring and analyzing performance and accuracy
Monitor all pricing for real-time odds, active player statistics markets, breaking news, and other relevant information to make real-time market adjustments / suspensions, while also ensuring that data flows from external partners are being recorded timely and accurately
Build out user risk profiles, staying close to behavior patterns and trends, and collaborate with product and engineering teams to enhance personalization within our DFS ecosystem
Automate risk and trading processes to scale for growth in users, sports, and markets in support of all game operations, and contribute to research and innovation for this function as a whole
Qualification
Required
Background in computer science, data science, machine learning, mathematics/statistics, or a similar field with related experience. Comfortable working with and analyzing large data sets
In-depth knowledge of DFS, sports betting, player props, handicapping, expected value, and closing line value. Ideal candidates have extensive experience with high volumes of DFS/sports betting and real money games, either as a trader, +EV bettor, and/or oddsmaker
Proactive – ready to hit the ground running; excited about the idea of building out processes from scratch, and not afraid to break the 'sports trading mold', challenging how the industry has historically approached risk management and trading
Comfortable working 'off hours' to align with peaks in the sports calendar. This will often include nights and weekends. We are generally quite flexible and will work with you to ensure an appropriate work/life balance is molded around game schedules
Knowledge of SQL, Python, and/or related software/tools, and familiarity in working with databases, data warehouses, data visualizations and report building
Experience with player performance metrics, game outcome predictions, in-game event modeling, as well as working with real-time sports data feeds and APIs
Benefits
Medical
Dental
PTO
401k
Company
Sleeper
Sleeper is a sports platform intended for fantasy leagues and eSports.
Founded in 2015
51-200 employees
H1B Sponsorship
Sleeper has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2023 (1)
2022 (1)
2021 (1)
2020 (2)
Funding
Current Stage
Growth StageTotal Funding
$67.3MKey Investors
Andreessen HorowitzGeneral CatalystBirchmere Ventures
2021-09-16Series C· $40M
2020-05-12Series B· $20M
2018-10-01Series A· $5.3M
Leadership Team
Nan Wang
Chief Executive Officer
Henry Leung
Cofounder
Recent News
General Catalyst
2026-02-04
Company data provided by crunchbase