Data Science Engineer Golf

DraftKings; London; On-site; USD 50,000 - 100,000; Full time

Job summary

An innovative technology firm is seeking a Data Science Engineer to craft impactful sports models using machine learning and data analysis. This role offers the chance to work with a talented team of experts in developing cutting-edge data science products that enhance the Sportsbook platform. You'll be responsible for creating statistical models, writing production-quality code, and ensuring model accuracy through rigorous testing. If you have a passion for sports and a strong background in data science, this is an exciting opportunity to contribute to a rapidly growing industry and shape the future of sports entertainment.

Qualifications

• Strong proficiency in Python and experience with statistical modeling.
• Knowledge of MLOps principles and tools is an asset.

Responsibilities

• Create and integrate statistical and machine learning models into applications.
• Collaborate with teams to move projects from ideation to deployment.

Skills

Python

Statistical Modeling

Machine Learning

Data Science Principles

Object-Oriented Programming

Interest in Sports

Education

PhD in Statistics

Master's in Data Science

Bachelor's in Computer Science

Tools

Kubernetes

Kafka

MLOps Tools

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

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.