[Remote] Sports Modeler

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. Underdog is a rapidly growing sports company that creates innovative products for sports fans. The Sports Modeler will work with a team to build predictive models and simulations to enhance product pricing and performance across various sports. Responsibilities • 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. Skills • 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. Benefits • 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 Company Overview • We’re the fastest-growing sports gaming company ever. Our mission is to build innovative games and products for American sports fans. It was founded in 2020, and is headquartered in Brooklyn, New York, USA, with a workforce of 201-500 employees. Its website is Company H1B Sponsorship • Underdog has a track record of offering H1B sponsorships, with 1 in 2024, 1 in 2023. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job
Apply Now →

Similar Jobs

Sport Science Intern - Remote

Remote Full-time

Remote Entry Level Sports Travel & Event Coordinator

Remote Full-time

Remote Sports Events Coordinator

Remote Full-time

Scoreboard and Display Territory Manager, Sports - REMOTE

Remote Full-time

Freelance Writer – Esports & Sports Betting

Remote Full-time

Sports Editor

Remote Full-time

VIP Account Associate, Sports

Remote Full-time

[Remote] Sports Talk Host (Audacy Sports Radio)

Remote Full-time

REVELxp - Director, Hospitality Sales, Remote

Remote Full-time

Hiring Now: Netflix Taggers Job, Netflix Tagger.Com, Tagger

Remote Full-time

– Freelance Financial Copy Editor (Hybrid) – New York City, NY

Remote Full-time

Experienced Remote Data Entry Specialist for FedEx Operations – Competitive Pay up to $25/Hour and Flexible Work Arrangements

Remote Full-time

Travel Consultant - Remote VIP

Remote Full-time

Customer Success Representative - Part-time Remote Role: Drive Customer Delight and Business Growth with a Dynamic Team

Remote Full-time

Work-from-Home Content Moderator – Female Candidates Only

Remote Full-time

Reel Maker / Video Editor/ Content creator

Remote Full-time

Experienced Customer Experience Associate – Delivering Exceptional Support and Driving Business Growth through Proactive Issue Resolution and Cross-Functional Collaboration

Remote Full-time

Experienced Cyber Security Analyst – 3rd Shift Remote Opportunity for Protecting Businesses from Cyber Threats

Remote Full-time

**Experienced Data Entry Clerk and Focus Group Panelist – Part-Time Work-From-Home Opportunity with Excellent Pay and Lifestyle Benefits at blithequark**

Remote Full-time

Cashier (Administrative Specialist 1) Limited Duration/Job Rotation

Remote Full-time
← Back to Home