At a Glance
- Tasks: Develop advanced sports models and data-driven solutions for an exciting Sportsbook platform.
- Company: Join a dynamic team of sports modeling experts in a leading tech company.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor junior team members.
- Why this job: Make a real impact on the Sportsbook experience while working with cutting-edge technology.
- Qualifications: Degree in a relevant field and proficiency in Python and data science principles.
The predicted salary is between 48000 - 72000 £ per year.
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 American Football. 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.
Responsibilities
- 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.
Qualifications
- 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 (American football 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.
Senior Data Science Engineer, American Football employer: DraftKings
As a leading player in the sports technology industry, our company offers an exciting opportunity for a Senior Data Science Engineer to thrive in a dynamic and innovative work environment. With a strong emphasis on collaboration and professional growth, we provide our employees with access to cutting-edge tools and resources, as well as opportunities to mentor junior team members. Located in a vibrant area that celebrates sports culture, we foster a passionate community where your contributions directly enhance the Sportsbook experience for American Football enthusiasts.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Engineer, American Football
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in sports data science. Attend meetups or webinars related to American football and data science – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning models. This is your chance to demonstrate your expertise and passion for sports, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of the sports modelling landscape. Be ready to discuss how you've tackled challenges in past projects and how you can contribute to our Sports Modeling team.
✨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, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Senior Data Science Engineer, American Football
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with statistical and machine learning models, especially in the context of sports. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about American football and how your background makes you a perfect fit for our Sports Modeling team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Since we’re all about Python and data science, make sure to mention your proficiency in these areas. If you’ve worked with containerization tools like Docker or orchestration platforms like Kubernetes, give us the details – we’re keen to know!
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at DraftKings
✨Know Your Models Inside Out
Make sure you can discuss the statistical and machine learning models you've worked on in detail. Be prepared to explain your thought process behind model selection, implementation, and any challenges you faced. This shows your depth of knowledge and passion for data science.
✨Brush Up on Python and Testing
Since proficiency in Python is crucial, practice coding problems related to data manipulation and model integration. Also, be ready to talk about unit testing and CI/CD pipelines, as these are key to ensuring code quality. Demonstrating your coding skills will give you an edge.
✨Show Your Sports Passion
As this role focuses on American football, make sure to highlight your understanding of the sport and its dynamics. Share any relevant experiences or insights that showcase your enthusiasm for sports, as this will resonate well with the interviewers.
✨Collaboration is Key
Be prepared to discuss how you've collaborated with cross-functional teams in the past. Highlight specific examples where you worked closely with Trading, Product, Engineering, or QA teams to move projects from ideation to deployment. This will demonstrate your teamwork skills and adaptability.
