Sleeper hiring Mid-Level Data Scientist / Quant - Risk & Trading • Remote (Work from Home) | Himalayas
SleeperSL

Mid-Level Data Scientist / Quant - Risk & Trading

Sleeper's mission is to connect people over sports.

Sleeper

Employee count: 51-200

Salary: 90k-175k USD

United States only

About Sleeper

Sleeper is one of the fastest–growing sports platforms in the US. We build free‑to‑play fantasy titles and real‑money Daily Fantasy Sports (DFS) games across the NFL, NBA/WNBA, MLB, NHL, EU football, and more. Our Risk & Trading team safeguards game integrity and optimizes profitability through data‑driven pricing and exposure management.

What You’ll Be Doing

  • Feature engineering & model tuning – Own the pipelines that transform raw bet, player, and market data into features for our pricing and exposure models (BigQuery + SQLX, Python, Pandas).

  • Predictive modeling – Train, validate, and deploy supervised and probabilistic models that forecast player performance, market volatility, and user value.

  • Guardrail automation – Ship rule‑based limiters and anomaly‑detection jobs that run every few seconds, flagging and throttling outlier exposure before it becomes tail risk.

  • Dashboards & alerting – Build Grafana dashboards and SQLX reports that surface live liability, promo uptake, and top‑line KPIs to trading and exec stakeholders.

  • Light on‑call rotation – During peak sports windows, respond to automated alerts and, if necessary, execute a manual override (price suspension / limit change). < 2 hrs/wk on average.

  • Cross‑functional collaboration – Pair with Backend & Data Engineers to productionize models, and with Product to iterate on game mechanics and promos.

Who You Are

  • 3‑5 years in data science, machine learning, or quant research; comfortable owning end‑to‑end projects.

  • Fluent in Python, SQL, and modern ML tooling (scikit‑learn, XGBoost, Airflow or similar).

  • Familiar with sports data and the economics of fantasy / sportsbook markets; plus if you’ve built pricing or risk models.

  • Systems thinker who anticipates failure modes and edge cases in real‑time environments.

  • Willing to flex hours around major game slates; we’re a remote‑first team and optimize schedules for coverage & work‑life balance.

Nice‑to‑Haves

  • Experience with BigQuery, Looker, dbt, or similar analytics stacks.

  • Exposure to real‑time streams (Kafka, Pub/Sub) and event‑driven architectures.

  • Prior work building user‑level segmentation or LTV models.

Compensation

In the United States, the reasonable base salary range for this role is $90 000 – $175 000 USD, plus equity and benefits (medical, dental, vision, PTO, 401k). Final offers consider experience, skills, and market data.

Benefits

  • Competitive salary and stock options

  • Comprehensive health, dental, and vision insurance

  • 401(k)

  • Flexible working hours and remote-first culture

  • Clear paths for career growth and leadership

What we offer

Sleeper believes in quality over quantity, and intentionally keeps our team small as a result. In past roles, we found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have. Our team includes designers, engineers, product experts, and finance & operation focused on one thing — connecting people over sports. We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role.

Competitive salary plus benefits including Medical, Dental, PTO, 401k. Please note that The salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to [email protected].

Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley’s top investors, including Andreessen Horowitz, General Catalyst, and Expa.
To learn more, visit us online at:www.sleeper.com

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 90k-175k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Sleeper

Learn more about Sleeper and their company culture.

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Sleeper's mission is to connect people over sports. We're building a digital playground for sports fans and their friends to hang out together.

We believe what truly makes sports so special in our lives is its ability to strengthen bonds between the people we care about. Some of our fondest memories include super bowl parties with friends, streaming the world cup with co-workers, and enjoying Christmas NBA games with family.

Our products enable you and your friends to enjoy sports together in a fun and social way, creating bonds that can span a lifetime.

Meet the teams

We believe in quality over quantity, and intentionally keep our team small as a result. In past roles, we found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have.

Our team includes designers, engineers, and product experts focused on one thing — connecting people over sports.

  • Customer Experience: We try our best to meet user needs when they need help. Sometimes they get angry anyways, but we live for the moments of delight we’re able to bring

  • Product Design: We draw increasingly detailed squiggly lines and boxes until we think they solve user-problems. Then we find out users want something else, and we have to start all over

  • Engineers: It’s not a bug, it’s a feature. We smash bugs and build new experiences day and night so everyone can play together on Sleeper.

  • Marketing: We run awesome AD campaigns to convince people that Sleeper is the best (even though it’s already obvious!)

  • Data & User Insights: We talk to users and look at a few too many graphs to help Sleeper decide what to build next

  • Business Developments: The business that invented shovels had a groundbreaking experience. Sleeper doing the same for fantasy, and we help by expanding the buisness and building partnerships

  • Finances: We keep the lights on and water running at Sleeper so our users can finally win their fantasy league this season

  • Operations: We’re like coffee – we amplify all employees at Sleeper by creating an environment that allows everyone to focus on the best work of their careers

Employee benefits

Learn about the employee benefits and perks provided at Sleeper.

View benefits

401(k) Plan

Employees at Sleeper can secure their future with a 401(k) retirement savings plan.

Team Building Events

Regular team building events and activities at Sleeper foster a strong, collaborative company culture.

Flexible Work

Sleeper provides flexible working hours to accommodate the diverse needs and lifestyles of its employees.

Remote Work Options

Sleeper supports remote work, offering employees the option to work from anywhere while maintaining their salary.

View Sleeper's employee benefits
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Sleeper

Company size

51-200 employees

Founded in

2014

Chief executive officer

Nan Wang

Employees live in

View company profile

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