Senior Analyst, Data Science & Sportsbook

Senior Analyst, Data Science & Sportsbook

This job is no longer open

The strategy behind the game.

We’re growing rapidly and are searching for a Senior Analyst to drive insights for our Data Science Product team while focusing on our Sportsbook vertical. The Data Science Product team is in charge of crafting the overall strategy for Data Science and defining the project requirements and goals for our Data Science Engineers.  In this role, you’ll be responsible for partnering with our Product Managers and using data to prioritize our product roadmap and measure the success of key initiatives. You will help guide the future of our products, specifically Online Sportsbook. You will work cross-functionally to identify high-value opportunities to implement data science and generate insights to improve the performance of existing products. Sound good to you? Join us.

What you’ll do as a Senior Analyst, Data Science Product:

  • Conduct open-ended analysis on Sportsbook product navigation and customer journeys to create and prioritize the Data Science roadmap for recommendations.

  • Define measurable goals for existing and future Data Science products and create dashboards to monitor the performance of these critical success metrics.

  • Set up and analyze experiments comparing Data Science algorithms against each other to test hypotheses and drive value for the business.

  • Partner with the data science team to develop algorithms and models to best personalize the experience for Sportsbook customers.

  • Mentor and coach other analysts across the business.

What you’ll bring:

  • 2+ years of analytics or data science experience.

  • Bachelor’s degree or equivalent in Mathematics, Statistics, Computer Science, Business Analytics, or another relevant discipline.

  • Ability to take complicated problems and create simple, analytical frameworks.

  • Comfortable synthesizing technical analysis and presenting to cross-functional audiences.

  • Expertise with SQL, Excel and R, Python, or another statistical programming language.

  • Familiarity with Tableau or similar data visualization tools.

  • Experience with inferential statistics and predictive modeling.

  • Ability to work autonomously, with a strong desire to produce high-quality work.

This position can sit in either Boston, MA or remote; however, this work is to be performed entirely outside of Colorado.

#LI-DC1


Who are we a good fit for? 

We love working with talented people but more than that, we seek out compassionate co-workers with a collaborative spirit. Our work moves quickly and we’re great at coming together to find creative solutions to some of tech’s most interesting problems. If that sounds good to you, join us.

We are DraftKings.

We’re inspired by our shared passion for developing creative solutions to complex challenges and empowering the people around us to do their best work. We are industry leaders in the digital entertainment and technology space propelled by constant curiosity and diverse perspectives.

Our teams are fueled by innovation. We are looking ahead, building what’s next, and continuously reinventing the industry. We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston, with teams around the world and an expanding global presence.

Join Us!

We strive to create a place where all feel safe, empowered, engaged, championed, and inspired. DraftKings is proud to be an equal opportunity employer. This means we do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.

Ready to build what’s next? Apply now.

As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment.

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.