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.
The Crown Is Yours
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.
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.
Senior Data Science Engineer, Sports Modelling 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
✨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 models and projects. 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 challenges in past projects and how you can contribute to the team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our innovative 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 is tailored to the Senior Data Science Engineer role. Highlight your experience with Python, machine learning, and any relevant sports modelling projects. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for sports and data science, and explain why you’re excited about the opportunity at DraftKings. Let us know how you can contribute to shaping the future of AI in sports.
Showcase Your Projects:If you’ve worked on any cool projects related to data science or sports modelling, don’t hold back! Include links to your GitHub or any relevant portfolios. We love seeing practical examples of your work and creativity.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, you’ll get all the latest updates directly from us!
How to prepare for a job interview at DraftKings
✨Know Your Stats
Brush up on your statistical and machine learning models. Be ready to discuss how you've applied these in past projects, especially in sports contexts. This shows you not only understand the theory but can also implement it practically.
✨Python Proficiency is Key
Make sure you're comfortable with Python and its libraries like NumPy. Prepare to demonstrate your coding skills, perhaps even through a live coding exercise. Familiarity with unit testing and CI/CD pipelines will definitely give you an edge.
✨Show Your Passion for Sports
Since this role is all about enhancing the Sportsbook experience, be prepared to talk about your favourite sports and leagues. Share insights on how data can transform sports experiences, showing that you’re not just a data whiz but also a sports enthusiast.
✨Collaboration is Crucial
Highlight your experience working with cross-functional teams. Discuss how you've collaborated with product, engineering, or QA teams in the past. This will demonstrate your ability to move projects from ideation to deployment effectively.
