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 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
PhD, Masters or Bachelor’s degree in STEM fields
Highly proficient in at least one programming language, ideally Python, with a strong understanding of object-oriented programming principles
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 are very desirable
Knowledge of web frameworks (e.g. Flask, Django) and HTTP APIs desirable
Keen interest in sports
Understanding of Sportsbook products will be considered an asset
Experience leading and coaching other data scientists
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.
