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- Tasks: Develop innovative data models and solutions to enhance the Sportsbook experience for Tennis fans.
- Company: Join DraftKings, a leading tech company shaping the future of sports and gaming.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI in sports, making a real impact on user experiences.
- Qualifications: Degree in a relevant field and proficiency in Python; passion for Tennis is a plus.
- Other info: Dynamic team environment with mentorship opportunities for junior data scientists.
The predicted salary is between 36000 - 60000 £ per year.
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 is transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We are shaping the future, one bold step at a time.
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 for Tennis. 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 (Tennis preferred) 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.
We are 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 will guide you through the process if this is relevant to your role.
Senior Data Science Engineer, Tennis in London employer: DraftKings
Contact Detail:
DraftKings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Engineer, Tennis in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at DraftKings. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially any related to sports. This is your chance to shine and demonstrate how you can enhance the Sportsbook experience.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and machine learning concepts. Be ready to discuss how you've tackled real-world problems with data-driven solutions—this is what they want to hear!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team and shaping the future of AI in sports.
We think you need these skills to ace Senior Data Science Engineer, Tennis in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Science Engineer role. Highlight your proficiency in Python, machine learning, and any relevant sports data projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about sports, especially Tennis, and how your background makes you a great fit for our Sports Modeling team. Be genuine and let your enthusiasm shine through!
Showcase Your Projects: If you've got any projects or models you've developed, don’t hesitate to share them! We love seeing practical examples of your work, especially if they relate to sports or data science applications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at DraftKings
✨Know Your Data Science Stuff
Make sure you brush up on your statistical and machine learning models. Be ready to discuss how you've applied these in real-world scenarios, especially in sports contexts. DraftKings is looking for someone who can hit the ground running, so show them you know your stuff!
✨Show Your Passion for Tennis
Since this role is focused on Tennis, it’s crucial to demonstrate your enthusiasm for the sport. Be prepared to talk about your favourite players, recent matches, or even trends in the game. This will help you connect with the team and show that you’re not just a data whiz but also a sports fan.
✨Get Familiar with Their Tech Stack
Do your homework on the tools and technologies mentioned in the job description, like Python, Docker, and CI/CD pipelines. If you can, bring examples of how you've used these in past projects. This shows you're not only qualified but also proactive about fitting into their tech environment.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration, as you'll be working closely with various teams. Think of examples where you've successfully collaborated on projects, especially in a data science context. Highlight your ability to coach junior team members too, as mentoring is part of the role.