Senior Data Science Engineer

2 Months ago • 4-8 Years • Data Analyst

Job Summary

Job Description

As a Senior Data Science Engineer at DraftKings, you will be responsible for creating statistical and machine learning models for sports betting, integrating them into applications, collecting and engineering sports data, implementing models and pricing engines in Python, and ensuring model accuracy through automated tests. Collaboration with product, development, QA, and delivery teams is crucial. You will also research sports rules and specifications, mentor junior data scientists, and ensure data flows and model integration within the business context. The role requires proficiency in Python, experience building statistical or machine learning models for multiple sports, and a deep understanding of data science and statistical modeling principles. Experience with Kubernetes and Kafka is desirable.
Must have:
  • Proficient in Python
  • Experience building statistical/ML models for multiple sports
  • Understanding of data science & statistical modeling
  • Model implementation & testing
  • Collaboration with cross-functional teams
Good to have:
  • Experience with Kubernetes and Kafka
  • Knowledge of MLOps
  • Understanding of Sportsbook products
  • Keen interest in sports (tennis)

Job Details

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 Senior Data Science Engineer

  • Create statistical and machine learning models and integrate them into DS applications 

  • Collect and engineer sports data assets to assist in model development

  • Implement the sports models and pricing engines in Python

  • Create automatic tests to ensure model and pricing engine accuracy

  • Collaborate closely with product, developers, QAs and delivery leads to move projects from ideation to deployment

  • Test that data flows work as expected and that models are well integrated in larger business context

  • Research the different sport’s specifications and rules

  • Coach and support more junior data scientists within the team

What You'll Bring

  • Highly proficient in at least one programming language, ideally Python

  • Experience of building statistical or machine learning models for multiple sports

  • Understanding of data science and statistical modelling principles

  • Experience with Kubernetes and Kafka are desirable

  • Knowledge of MLOps principles and related tools will be considered an asset

  • Keen interest in sports, particularly tennis 

  • Self-learner who is open to learning new things

  • Familiarity with version control concepts

  • Understanding of object-oriented programming principles

  • Understanding of Sportsbook products will be considered an asset 

  • PhD, Masters or Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or related field

#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.

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