Data Science Engineer

Posted 6 Days Ago
Be an Early Applicant
Dublin
Hybrid
Entry level
Digital Media • Gaming • Information Technology • Software • Sports • eSports • Big Data Analytics
The Crown Is Yours
The Role
As a Data Science Engineer, you will create and integrate statistical and machine learning models for a sports platform, write production-quality code, collaborate with various teams, and ensure data flows and model integrations are effective.
Summary Generated by Built In

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.

Top Skills

Python
The Company
Dublin, D02 N279
5,300 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

It's simple, at DraftKings, we believe life is more fun when you're in on the action. For that reason, we’re committed to responsibly creating the world’s favorite games and betting experiences. We’re developing the most innovative and entertaining real money products and offers; to forever transform how people experience sports; to be a fully vertically integrated sports betting operator. It's our ultimate goal to build the best, most trusted, and most customer-centric destination for our players.

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.

Why Work With Us

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. Ready to own what’s next?

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DraftKings Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
Dublin, D02 N279
Our Dublin Engineering team is at the heart of our industry-leading product. When you join us, you’ll build complex features, products, and experiences every day. Ownership and scalability are central to our work.

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