Data Science Manager, MLB

THE POSITIONO

ur roster has an opening with your name on itWe are looking for a Data Science Manager 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 Fan Duel 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. This role will also manage and develop other data scientists. You will promote effective communication of model outputs and contribute to a collaborative code  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.

THE GAME PLAN Everyone on our team has a part to play 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

Manage a group of Data Scientists to develop production-ready models and solve company-wide challenges

Choose appropriate tools, systems and models to solve large data problems

Troubleshoot and resolve coding and modeling problems presented by others

Proactively seek opportunities or problems to be analyzed

Put together project plans for the Data Science team to follow

Present to senior leaders confidently and with impact

Construct models, analyses 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

Identify, grow and develop top talent within the Data Science organization

Lead regular forums within or across teams to ensure key decisions and conclusions are disseminated and understood

Make significant contributions to, sets agenda for and helps steer large group meetings

Determine inefficiencies in ways of working and seeks to solve themTHE STATSWhat we're looking for in our next teammate

Minimum of 5 years’ 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

Experience managing or mentoring other data scientists or analysts

Strong analytical and quantitative skills, with high proficiency in Python or R, and SQL (or coding language of choice)
Strong understanding and application of Bayesian statistics

Expert in building and using models to help create production level products and tools

Proficient with command line tools and Git Hub Object -oriented design and coding skills

Strong verbal and written communication skills - present findings and analysis to senior management, being totally accountable for the entire agenda of the projects owned

Help the stakeholders in understanding the business KPIsBring efficiency and automation in the data infrastructure

Ability to work across teams, locations and time zones

Willing to work nontraditional hours when applicable

Interes…