Manager, Data Science Engineering

Key Skills

Apache Kafka, AWS, Data science techniques, DevOps, Effective communication skills, Kubernetes-K8s, Machine learning techniques, Planning and organization

Job Description

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 proven leader, creative thinker, utilizing data, machine learning, and software development skills to craft high-impact solutions that grow the business.

What you’ll do as a Manager, Data Science Engineer

• Manage a squad of sports modellers as they develop, test and deploy sports models and sportsbook applications to production

• Take ownership for the design, development, maintenance and testing strategy of sports models

• Collaborate with business leads across Sportsbook and Engineering to define milestones and deliverables for new sports models or enhancements to existing models

• Contribute to the architecture and design of DS projects and strategic initiatives, with specific focus on quality, stability, and efficiency

• Mentor and lead design and knowledge transfer sessions, ensuring other engineers within data science deliver high quality work

What you’ll bring

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

• Highly proficient in at least one programming language, ideally Python with a strong understanding of object-oriented programming principles

• Experience building sports models in a previous role or as a passion project

• Experience with AWS based services and infrastructure; ideally with AWS ML tools

• Experience with typical DevOps flows, such as containerisation and monitoring

• Experience with Kubernetes and Kafka are very desirable

• Understanding of Sportsbook products will be considered an asset

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

• PhD, Masters or Bachelor’s degree in STEM fields

• Keen interest in sports