Sports Modeler at Underdog Fantasy

, , United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

150000.0

Posted On

28 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, Pandas, Scikit-learn, TensorFlow, Statistical Methods, SQL, Big Data Tools, Spark, Kafka, ETL Processes, Data Pipeline Design

Industry

Spectator Sports

Description

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. Who you are 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 Even better if you have 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 This position may require sports betting licensure based on certain state regulations. 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.

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Responsibilities

You will build predictive and simulation models to underpin the pricing of a range of our products across major US sports. Collaborate with engineering and trading teams on the design, implementation, and refinement of models.