Data Scientist, Sleeper
Risk and Trading, Daily Fantasy Sports
$75-150k
Fantasy sports app
Be an early applicant
Fantasy sports app
101-200 employees
Be an early applicant
$75-150k
101-200 employees
Company mission
To connect people over sports.
Role
Who you are
- 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
What the job involves
- We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function
- 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
Our take
The popularity of being able to create fantasy teams and enjoy watching sports virtually has taken socialising around sports to a virtual level. In fact, the fantasy sports market size is expected to reach $48.6 billion by 2027. Sleeper was initially an app on which users discussed fantasy sports, but in 2017, it began hosting free fantasy football leagues, competing with sites like Yahoo. Integrating social media and sports, the company is now known to be one of the best DFS communities to hang out on.
Through substantial funding, Sleeper is expanding the game offerings on its platform and in 2022, release a new feature called Wallet that enables users to sync their preferred payment methods to the platform.
There has been consistent growth for the platform since its founding and it has successfully attracted a loyal user base.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Sep 2021
$40m
SERIES C
May 2020
$20m
SERIES B
Total funding: $67.3m
Company benefits
- 401k and health insurance
- Unlimited Vacations
- Regular virtual game-time with the team with company-sponsored snacks
- Company-sponsored fantasy leagues with real prizes
- Team outing every quarter and company retreat once a year
Company HQ
Paradise, NV
Leadership
Nan Wang
(CEO & Co-Founder)After studying went on to become a Senior Analyst at Fidelity Investments, Representative for China Investment Corporation and Private Equity Investor at Neuberger Berman.
Henry Leung
(Co-Founder)Worked as an Android Developer at Vevo, Senior iOS Developer at Dwell Media and Lead Mobile Engineer at Whil Concepts.
Ken Wang
(Co-Founder)Previously worked as a NET Web Engineer at Genex/O’Grady Meyers, Senior C# Engineer at Decore-ative Specialties and UI Engineering Tech Lead (TV/Console Platform) at Vevo.
Weixi Yen
(Co-Founder)Worked as a Software Engineer at Kabam and then went on to work through several roles at Storm8, most recently as an Engineering Manager.
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