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Data Scientist - Risk and Trading (Daily Fantasy Sports)

Join Sleeper as a Data Scientist to enhance risk management and trading in Daily Fantasy Sports with a focus on data analysis and predictive modeling.

Location
Remote, United States
Compensation
$75k–$150k/yr
Level
mid
Type
full time · Hybrid

Posted by employer 7 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 week ago

Apply at Sleeper → Save job Scanned from sleeper.com

Requirements

Education
Bachelor's degree

Not disclosed in this posting: years of experience, visa sponsorship.

Benefits

401k Match Paid Time Off Health Insurance

Joblaze summary

In this role, the Data Scientist focuses on supporting Sleeper's risk and trading operations by analyzing data to identify trends and developing predictive models for real-time liability management. Proficiency in SQL and Python, along with a strong background in daily fantasy sports and sports betting, are essential for success. This position is well-suited for candidates with experience in high-volume trading environments who are proactive and eager to innovate within the industry. Sleeper's dynamic team is committed to reshaping the landscape of fantasy sports through data-driven insights.

Joblaze insights

Quick facts

Is the Data Scientist - Risk and Trading (Daily Fantasy Sports) role remote?
It's hybrid — Sleeper expects some on-site time in Remote, United States.
What's the salary range?
Sleeper lists $75,000–$150,000 for this role.
Where is the role based?
Sleeper is hiring for this position in Remote, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: Data Analysis, Data Science, Machine Learning, Python, SQL, data visualization.
What seniority level is this role?
Sleeper targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Data Scientist - Risk and Trading (Daily Fantasy Sports) role at Sleeper.

From the original posting

About Sleeper:

Sleeper is one of the fastest growing sports platforms in the US. As the leader in Fantasy Sports, Sleeper’s product portfolio includes a variety of free-to-play Fantasy Sports and real money Daily Fantasy Sports (“DFS”) games and applications. Our growing list of titles spans a diverse range of sports leagues, including the NFL, NBA/WNBA, MLB, NHL, EURO, and other soon-to-be released offerings.

We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function.

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.

    Qualifications:

  • 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.

Additional Information:

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.

For this role, in this particular location, a reasonable estimate of the base salary range for new hires is between $75,000 USD to $150,000 USD, plus benefits including Medical, Dental, PTO, and 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 jobs@sleeper.app.

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

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