Time since we first saw it
Day 24
Similar jobs usually come down between day 7 and day 56.
At DraftKings, jobs usually come down by about day 33.
From 10,198 similar postings that came down, and 16 of DraftKings’s. Coming down is not always a hire.
Senior Data Science Engineer
London, UK
Live, first seen by us 24 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingCreate statistical and machine learning models and integrate them into applications
Implement sports models and pricing engines in Python
Collect and engineer sports data assets for model development
Write automatic tests to check model and pricing engine accuracy
Coach and support more junior data scientists
From the employer’s posting
Create statistical and machine learning models and integrate them into data science applications.
Implement the sports models and pricing engines in Python.
Collect and engineer sports data assets to assist in model development.
Create automatic tests to ensure model and pricing engine accuracy.
Coach and support more junior data scientists within the team.
What you’ll bring
All qualificationsCore experience
- College degree in Statistics, Data Science, Math, CS, Engineering or related field
- Proficiency in Python, object-oriented programming, and version control
- Familiarity with unit and integration testing and CI/CD pipelines
- Familiarity with Docker and Kubernetes
- Experience with the machine learning lifecycle, from experimentation to monitoring and retraining
Qualification wording
A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field
Proficiency in Python, object-oriented programming concepts, and version control
Familiarity with unit testing, integration testing, and CI/CD pipelines
Familiarity with containerization tools like Docker and orchestration platforms such as Kubernetes
Experience with the machine learning lifecycle (experimentation, reproducibility, deployment, monitoring, retraining)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 12, 202624 days ago
- Recorded sightings
- 39
- Last seen by us
- Nov 5, 2026
- Reposted
- once since Jul 25, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
DraftKings is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 17% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Docker
- Kubernetes
Where the posting names them
- 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.
- A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field - Proficiency in Python, object-oriented programming concepts, and version control - Familiarity with unit testing, integration testing, and CI/CD pipelines to support code quality and reliability
- Familiarity with unit testing, integration testing, and CI/CD pipelines to support code quality and reliability - Familiarity with containerization tools like Docker and orchestration platforms such as Kubernetes - Experience with the machine learning lifecycle (experimentation, reproducibility, deployment, monitoring, retraining)
Your next step
Complete your application on draftkings.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Has DraftKings posted this job before?
Yes. We’ve followed 2 other Senior Data Science Engineer jobs there since July 2026. One came down after 79 days. One is still up.
About DraftKings
- People
- About 5,500 in 2025, up 8% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as DKNG.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.
The Crown Is Yours
Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform . As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications.
What You'll Do
- Create statistical and machine learning models and integrate them into data science 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 Trading, Product, Engineering, and QA teams to move projects from ideation to deployment.
- Test data flows and model integration in a larger business context.
- Coach and support more junior data scientists within the team.
What You'll Bring
- A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field
- Proficiency in Python, object-oriented programming concepts, and version control
- Familiarity with unit testing, integration testing, and CI/CD pipelines to support code quality and reliability
- Familiarity with containerization tools like Docker and orchestration platforms such as Kubernetes
- Experience with the machine learning lifecycle (experimentation, reproducibility, deployment, monitoring, retraining)
- Solid grasp of data science principles and statistical modeling techniques, preferably with experience building statistical or machine learning models for sports
- Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics
- Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies
#LI-AA2
#HYBRID
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, UK
#LI-AA2 #HYBRID Join Our Team
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.