Data Scientist

FanDuel • Jersey City, NJ

1d • Hybrid

About The Position

Our roster has an opening with your name on it We are looking for a Data Scientist for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems. Throughout the lifecycle of a model, from data collection through results, you will create predictive models of sports to build tools and dashboards, price markets, 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. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

Requirements

• A minimum of 1 year of Industry Experience in data science, analytics or engineering preferred
• Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred
• Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL
• Understanding and application of Bayesian statistics
• Experience building and using models to help create production level products and tools
• Comfortable with command line tools and GitHub
• Object-oriented design and coding skills
• Strong verbal and written communication skills
• Ability to work across teams, locations and time zones

Nice To Haves

• Interest or experience in Sports Gaming and/or Fantasy Sports

Responsibilities

• Develop, iterate, and take to production machine learning models to predict sports outcomes and solve problems
• Iterate and improve on betting product range to ensure market leading offering
• Continuous improvement in pricing techniques - both at an individual level and working with trading teams to optimize predictive and derivative model pricing
• Construct models, analyzes and solutions in response to a question or problem posed by a stakeholder or colleague
• Manage the data preparation process from collection through cleaning
• Build robust predictive models, showing capabilities of feature and model selection
• Contribute to a production code environment
• Work with decision-makers across the company to understand their goals, identify opportunities to use data to develop new insights and improve business results
• Create dashboards and data visualizations for analysis and communication

Benefits

• array of health plans to choose from (some as low as $0 per paycheck)
• programs for fertility and family planning
• mental health support
• fitness benefits
• generous paid time off (PTO & sick leave)
• annual bonus
• long-term incentive opportunities (based on performance)
• 401k with up to a 5% match
• commuter benefits
• pet insurance
• medical, vision, and dental insurance
• life insurance
• disability insurance
• a 401(k) matching program
• short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation
• paid personal time off
• 14 paid company holidays
• paid sick time in accordance with all applicable state and federal laws

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level