Full-Time

Data Scientist

Risk and Trading, Daily Fantasy Sports

Sleeper

Sleeper

51-200 employees

Ad-free premium fantasy sports platform

Compensation Overview

$75k - $150k/yr

Remote in USA

Remote

Category
Data & Analytics (1)
Required Skills
Python
Data Science
SQL
Machine Learning
REST APIs
Data Analysis
Requirements
  • 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.
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.

Sleeper runs a fantasy sports platform that lets users manage fantasy football leagues and bracket pools through an engaging app. It focuses on social features like in-app chat, live game watching, and intuitive design so players can communicate, react, and enjoy games together. The product works by offering premium features such as advanced draft modes and customization, all without ads, and monetizes through these paid enhancements rather than advertising. Sleeper differentiates itself from competitors by prioritizing a premium, ad-free user experience and a tight, design- and product-focused team. This approach has led to high engagement and retention, with millions of users who stay active across seasons. The goal is to connect sports fans through a social and immersive fantasy experience, providing deeper interaction and enjoyment around games while keeping the platform enjoyable and ad-free.

Company Size

51-200

Company Stage

Series C

Total Funding

$67.3M

Headquarters

San Francisco, California

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • Kalshi integration boosts engagement for 10 million users pre-Super Bowl.
  • High retention from live play-by-plays and personalized alerts.
  • $115B annualized Kalshi volume expands Sleeper's prediction markets.

What critics are saying

  • CFTC enforces against Sleeper's Kalshi sports gambling in 6-12 months.
  • PrizePicks erodes users with faster esports payouts in 12-18 months.
  • App stores ban Sleeper's prediction trading in 3-6 months.

What makes Sleeper unique

  • Sleeper provides ad-free platform with in-app chat and voice features.
  • Advanced tools enable multi-team trades and year-round league activity.
  • Esports fantasy integrates PandaScore data and League of Legends leagues.

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Benefits

Health Insurance

Unlimited Paid Time Off

401(k) Retirement Plan

Company News

Business Wire
Feb 6th, 2026
Sleeper integrates Kalshi prediction markets as platform hits $115B annualised volume

Kalshi, the world's largest prediction market, has partnered with sports app Sleeper to integrate prediction markets directly into its platform. Sleeper's 10 million users can now trade prediction markets on sports, with additional real-world event markets launching soon. The integration continues Kalshi's distribution strategy of powering prediction markets across platforms including Robinhood, Coinbase and PrizePicks. Annualised volume on Kalshi has crossed $115 billion, with Sunday's pro football championship market alone projected to exceed $800 million in trading volume. For Sleeper, the partnership expands user engagement beyond its fantasy leagues and daily fantasy sports offerings. The integration arrives ahead of the Super Bowl, allowing fans to participate in prediction markets where they already gather around sports.