Data Science Engineer Golf

DraftKings, Inc.; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking technology company as a Data Science Engineer, where you will leverage your expertise in Python and machine learning to develop innovative sports models. This role offers the opportunity to work on cutting-edge projects that drive measurable value within a dynamic Sportsbook platform. Collaborate with a talented team of experts and contribute to the exciting world of sports data science. If you are passionate about sports and eager to tackle rewarding challenges, this position is perfect for you.

Qualifications

• Strong proficiency in Python and statistical modeling.
• Experience building machine learning models for sports applications.
• Understanding of MLOps principles and tools.

Responsibilities

• Create and integrate statistical and machine learning models into applications.
• Collaborate with cross-functional teams to move projects from ideation to deployment.
• Ensure model accuracy through automated testing.

Skills

Python

Statistical Modeling

Machine Learning

MLOps

Kubernetes

Kafka

Version Control

Object-Oriented Programming

Education

PhD in Statistics

Masters in Data Science

Bachelor's in Computer Science

Tools

Kubernetes

Kafka

Job description

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

As a Data Science Engineer, you'll utilize data, machine learning, and software development skills to craft high-impact best-in-class sports models that grow the business. Our team comprises sports modeling experts and data science technologists, coming together to develop innovative Data Science products that drive measurable value across our Sportsbook platform.

What you'll do as a Data Science Engineer

• Create statistical and machine learning models and integrate them into DS applications
• Expand the capabilities of our sport models with enhanced granularity
• Writing production quality code to deploy and run models in a sportsbook platform
• Utilise our MLOps platform to train and productionise ML models
• Create automatic tests to ensure model accuracy
• Collaborate closely with product, developers, QAs, and delivery leads to move projects from ideation to development and deployment
• Test that the data flows work as expected and that models are well integrated into the larger business context

What you'll bring

• Strong proficiency in Python
• Experience building statistical or machine learning models for sports
• Solid understanding of data science and statistical modeling principles
• Experience with Kubernetes and Kafka is desirable
• Knowledge of MLOps principles and related tools will be considered an asset
• Familiarity with version control concepts
• Understanding of object-oriented programming principles
• PhD, Masters or Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field
• Keen interest in sports
• Understanding of Sportsbook products is desirable

#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.