Lead Data Science Engineer

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.

Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

The Crown Is Yours

Our team comprises sports modelling experts and data science technologists, coming together to develop innovative DS products that deliver incremental value on the Sportsbook platform at DraftKings. As part of this role, you will be a creative thinker, utilizing data, machine learning, and software development skills to craft high-impact best-in-class sports models that grow the business.

What you’ll do as a Lead Data Science Engineer

Research and implement DS applications in Python

Create statistical and machine learning models and integrate them into DS applications 

Work with and help develop our MLOps pipeline

Data engineering of data assets to assist in DS application development

Writing production quality code to deploy and run models in a sportsbook

Create automatic tests to ensure accuracy and reliability of DS applications

Collaborate closely with product, developers, QAs and delivery leads to move projects from ideation to development and deployment

Test that data flows work as expected and that DS applications are well integrated in larger business context

Build advanced analytics tools for sportsbook product teams

Coach and support more junior data scientists within the team

What you’ll bring

Ideally, you have experience as the expert on a data science team where you were responsible for all aspects of data science technical projects, including development and deployment, and then monitoring of how those applications perform in production

Experience leading and coaching other data scientists

Strong understanding of object-oriented programming principles with Python

Understanding of different database technologies, including relational and non-relational databases

Experience implementing ML automation, MLOps principles and related tools

AWS experience will be considered an asset

Experience with typical DevOps flows, such as containerisation (e.g. Docker) and monitoring (e.g. ELK, Grafana)

Experience with Kubernetes and Kafka is very desirable

Knowledge of web frameworks (e.g. Flask, Django) and HTTP APIs is desirable

Keen interest in sports 

Understanding of Sportsbook products will be considered an asset 

PhD, Masters or Bachelor’s degree in STEM fields

Excellent communication & organizations skills with the ability to articulate key business information quickly and effectively

#LI-SM1

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. 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. Don’t worry, we’ll guide you through the process if this is relevant to your role.