At a Glance
- Tasks: Develop advanced sports models and data-driven solutions to enhance user experiences.
- 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.
- Other info: Dynamic environment with a focus on collaboration and career advancement.
- Why this job: Be part of an innovative team transforming the sports betting landscape with AI.
- Qualifications: Degree in a related field and proficiency in Python and data science principles.
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’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.
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. 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. 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, 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 in London employer: DraftKings
At DraftKings, we pride ourselves on being at the forefront of innovation in the sports and gaming industry. Our vibrant work culture fosters collaboration and creativity, providing employees with ample opportunities for professional growth and development. Located in Boston, our team enjoys a dynamic environment where cutting-edge technology meets a passion for sports, making it an exciting place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Engineer, Sports Modelling in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at DraftKings. LinkedIn is your best mate here—send personalised messages and ask for informational chats. You never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially any sports modelling work. Share it during interviews or on your LinkedIn profile. It’s a great way to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python skills and be ready to discuss statistical models and machine learning concepts. Practise coding challenges and be prepared to explain your thought process clearly—communication is key!
✨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 genuinely interested in joining the team at DraftKings. Let’s make it happen together!
We think you need these skills to ace Senior Data Science Engineer, Sports Modelling in London
Some tips for your application 🫡
Show Your Passion for Sports:When you're writing your application, let your love for sports shine through! Mention specific leagues or teams you follow and how they inspire your work in data science. This will show us that you’re not just a tech whiz but also someone who truly understands the industry.
Highlight Your Technical Skills:Make sure to clearly outline your proficiency in Python and any relevant tools like Docker or Kubernetes. We want to see your experience with machine learning and statistical modelling techniques, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Don’t send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Senior Data Science Engineer role. Use keywords from the job description to demonstrate that you’re a perfect fit for our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and keen to join our innovative team at DraftKings!
How to prepare for a job interview at DraftKings
✨Know Your Models
Make sure you’re well-versed in the statistical and machine learning models relevant to sports data. Be ready to discuss how you've implemented these models in Python, and share specific examples of your work that demonstrate your expertise.
✨Show Your Passion for Sports
DraftKings is all about sports, so let your enthusiasm shine through! Be prepared to talk about your favourite leagues and teams, and how your understanding of sports dynamics can enhance the Sportsbook experience.
✨Collaboration is Key
Highlight your experience working with cross-functional teams like Trading, Product, and Engineering. Share examples of how you’ve successfully collaborated on projects, moving from ideation to deployment, and how you can bring that teamwork spirit to DraftKings.
✨Emphasise Continuous Learning
Demonstrate your self-motivation and eagerness to learn. Discuss any recent courses or projects you've undertaken to expand your knowledge in data science or sports modelling, and how you plan to keep up with emerging technologies in the field.
