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- Tasks: Create and implement machine learning models for sports data applications.
- Company: Join DraftKings, a leading tech company shaping the future of AI in sports.
- Benefits: Competitive salary, gaming license support, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make an impact in the sports industry.
- Qualifications: Degree in a related field and proficiency in Python and data science principles.
- Other info: Dynamic team environment with a focus on collaboration and mentorship.
The predicted salary is between 60000 - 80000 £ 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’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.
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, NumPy methods 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.
- 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.
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.
Senior Data Science Engineer, Sports Modelling employer: DraftKings Inc.
Contact Detail:
DraftKings Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Engineer, Sports Modelling
✨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 job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially any sports modelling work. This is your chance to shine and demonstrate how you can contribute to the team.
✨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 and how you can apply that to DraftKings' innovative projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Senior Data Science Engineer, Sports Modelling
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 and how your background in data science can contribute to our innovative team. Be genuine and let your enthusiasm shine through!
Showcase Your Projects: If you've got any personal or professional projects related to data science or sports modelling, don’t hesitate to include them. We love seeing real-world applications of your skills, especially if they involve statistical models or Python implementations.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at DraftKings Inc.
✨Know Your Stats
Brush up on your statistical and machine learning models. Be ready to discuss how you've created and integrated these models in past projects, especially in Python. Highlight any specific sports data assets you've worked with, as this will show your passion for the field.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various teams, prepare examples of how you've successfully collaborated with others in previous roles. Think about times when you’ve worked with Trading, Product, Engineering, or QA teams to move projects from ideation to deployment.
✨Demonstrate Your Technical Proficiency
Be ready to discuss your experience with unit testing, CI/CD pipelines, and containerization tools like Docker. If you have examples of how you've ensured code quality and reliability, share those. This will show that you understand the importance of maintaining high standards in your work.
✨Passion for Sports is Key
Make sure to convey your enthusiasm for sports and your understanding of relevant leagues. Prepare to discuss how your knowledge of sports dynamics can contribute to the role. This passion can set you apart from other candidates who may not have the same level of interest.