Job Location: New York, NY
Job Detail:
About Fanduel Group
FanDuel Group is a world-class team of brands and products all built with one goal in mind — to give fans new and innovative ways to interact with their favorite games, sports, teams, and leagues. That’s no easy task, which is why we’re so dedicated to building a winning team. And make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give.
Our brands include:
- FanDuel — A game-changing real-money fantasy sports app
- FanDuel Sportsbook — America’s #1 sports betting app
- FanDuel TV — The Bettor Sports Network bringing live sports and interactive content to the games fans care about most
- FanDuel Racing — A horse racing app built for the average sports fan
- FanDuel Casino & Betfair Casino — Fan-favorite online casino apps
- FOXBet — A world-class betting platform and affiliate of FanDuel Group
- PokerStars — The premier online poker product and affiliate of FanDuel Group
THE POSITION:
Our roster has an opening with your name on it
We are looking for a Data Science Intern for our Sports Modeling & Innovation team to help tackle our most challenging sports modeling problems. You will assist with creating predictive models which are used to build tools and dashboards, price the markets you see on our sportsbook, and drive actionable insights across FanDuel Group. You will be working closely with the product and risk and trading teams, modeling player performance, team performance, and game outcomes among other challenges. You will promote effective communication of model outputs and contribute to a collaborative code environment.
THE GAME PLAN:
Everyone on our team has a part to play
- Participate in the development of machine learning models to predict sports outcomes
- Work with a mentor to understand and improve on betting product range to ensure market leading offerings
- Manage the data preparation process from collection through cleaning
- Assist in the building of robust predictive models, showing capabilities of feature and model selection
- Join the process of creating data visualizations for analysis and communication to stakeholders
THE STATS:
What We’re Looking For In Our Next Teammate
- Currently pursuing a MS degree in a highly numerate major (Math, Stats, Econ, CS, etc.) and/or relevant experience in data science
- Passion for building models – side projects for areas of interest are a big plus
- Proactive learner with an ability to work independently
- Analytical and quantitative skills, with proficiency in Python or R, and SQL
- Excited to learn about building and using models to help create production level products and tools
- Able to take ownership for your tasks and see features through from start to finish
- Strong verbal and written communication skills
- Interest in Sports Gaming and/or Fantasy Sports
- December 2023 – May 2024 graduate
THE CONTRACT
We treat our team right
Competitive compensation is just the beginning. As part of our team, you can expect:
- An exciting and fun environment committed to driving real growth
- Opportunities to build really cool products that fans love
- Mentorship and professional development resources to help you refine your game
- Flexible vacation allowance to let you refuel
- Hall of Fame benefit programs and platforms
The applicable hourly range for this position is $40.00 to $50.00 which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may also be eligible for short-term or long-term incentive compensation.
FanDuel Group is an equal opportunities employer. Diversity and inclusion in FanDuel means that we respect and value everyone as individuals. We don’t tolerate bias, judgement or harassment. Our focus is on developing employees so that they reach their full potential.
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