At Underdog, we make sports more fun.
Our thesis is simple: build the best products and we’ll build the biggest company in the space, because there’s so much more to be built for sports fans. We’re just over five years in, and we’re one of the fastest-growing sports companies ever, most recently valued at $1.3B. And it’s still the early days.
We’ve built and scaled multiple games and products across fantasy sports, sports betting, and prediction markets, all united in one seamless, simple, easy to use, intuitive and fun app.
Underdog isn’t for everyone. One of our core values is give a sh*t. The people who win here are the ones who care, push, and perform. If that’s you, come join us.
Winning as an Underdog is more fun.
An opportunity to take your love of sports to another level. Model, simulate, predict and perfect the outcomes of sports, teams and the players that are involved. This is a great opportunity for a data scientist who enjoys seeing their product become customer facing quickly and efficiently.
About the role- Working with an international team of sports modelers to build a range of models to assist with our unique Underdog business.
- You will build predictive and simulation models to underpin the pricing of a range of our products across major US sports
- Analyzing defining and performing on the performance of our models to identify opportunities of improvement.
- Collaborating with engineering and trading teams on the design, implementation and refinement of models.
- 2+ years of full time experience in a fast-paced financial or similar setting
- Strong programming skills in Python and R, with experience using libraries such as Pandas, scikit-learn, and TensorFlow
- Solid understanding of statistical methods and their application in data analysis
- Ability to write complex SQL queries to extract and manipulate data from databases
- Familiarity with big data tools like Spark and Kafka
- Understanding of ETL processes and data pipeline design
- Education: Bachelor’s degree in a STEM field
- Have experience working as a data scientist in the sports or finance industries.
Our target starting base salary range for this position is between $135,000 and $150,000, plus target equity. The starting base salary will depend on a number of factors including the candidate’s skills and experience, among other things.
What we can offer you:- Unlimited PTO for full-time employees (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
- 16 weeks of fully paid parental leave
- Home office stipend
- A connected virtual-first culture with a highly engaged distributed workforce
- 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents
#LI-REMOTE
Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.
Top Skills
What We Do
Underdog, the fastest-growing sports gaming company in the U.S., was founded in 2020 with the simple objective of making sports more fun. Our core operating principle: There’s so much more to be built for sports fans in America. As the only top-tier sports gaming operator in the country built on its own proprietary technology, we have a unique ability to create new, engaging products for the U.S. consumer. Our products provide the best way to enjoy fun, approachable sports games. We offer fantasy sports games, licensed sports betting, access to sports prediction markets and a growing media network featuring former professional athletes, coaches, analysts, and the fastest breaking news. Underdog is built for and by sports fans to make sports more fun. For more information, visit underdogfantasy.com.
Why Work With Us
As the only company built on its own proprietary technology across fantasy sports and sports betting regulatory frameworks, and now the first and only sports prediction market exchange offered on a major sports gaming operator app, Underdog is poised for significant growth over the next year and beyond.
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