Lead Data Science Engineer

DraftKings; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Join a leading technology company as a Lead Data Science Engineer, where you'll innovate on sports models that enhance our Sportsbook platform. This role involves creating machine learning applications, data engineering, and coaching junior data scientists. If you're passionate about data science and looking for challenging opportunities, we want you on our team!

Qualifications

• Experience on a data science team responsible for full project life cycle.
• Highly proficient in Python with understanding of OOP principles.
• Experience in MLOps, containerisation, and DevOps flows.

Responsibilities

• Research and implement DS applications in Python.
• Create statistical and machine learning models and integrations.
• Coach and support junior data scientists in the team.

Skills

Data Science

Machine Learning

Python

Statistical Models

Data Engineering

MLOps

DevOps

Kubernetes

Communication

Education

PhD, Masters or Bachelor’s degree in STEM fields

Tools

AWS

Docker

Kafka

ELK

Grafana

Flask

Django

Job description

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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
• 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
• Understanding of Sportsbook products will be considered an asset
• Experience leading and coaching other data scientists
• Excellent communication & organization skills with the ability to articulate key business information quickly and effectively

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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.