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- Tasks: Lead data science projects and develop machine learning models to solve real-world problems.
- Company: Join DraftKings, a leading tech company shaping the future of AI in gaming.
- Benefits: Competitive salary, innovative work environment, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a significant impact on customer experiences.
- Qualifications: Experience in data science, machine learning, and proficiency in Python or R.
- Other info: Collaborative team culture with mentorship opportunities and career advancement.
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. The Crown Is Yours.
What You'll Do as a Senior Data Science Engineer
- Lead data science projects from conception to deployment, ensuring high-quality and timely delivery.
- Develop and implement statistical models and machine learning algorithms to solve complex business problems.
- Collaborate with cross-functional teams to integrate data science solutions into production systems.
- Mentor junior data scientists and provide guidance on best practices and methodologies.
- Communicate technical findings and insights to internal stakeholders to support data-driven decision-making.
- Assist with the adoption of data-driven strategies into the trading processes.
- Assist with the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives.
What You'll Bring
- Proven experience in data science, with a strong foundation in machine learning and statistical modeling.
- Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools.
- Demonstrated ability to break down complex problems into manageable tasks and deliver high-quality results.
- Excellent problem-solving skills and the ability to work collaboratively in a team environment.
- Experience in developing and implementing automated trading or decision-making systems is highly desirable.
- Experience with Kubernetes and Kafka are desirable.
- Experience with Databricks is desirable.
- Experience with experimentation is desirable.
- A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.
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 employer: DraftKings Inc.
Contact Detail:
DraftKings Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at DraftKings. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and statistical models. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how you've tackled complex problems. We want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our innovative team at DraftKings.
We think you need these skills to ace Senior Data Science Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and data science shine through. We want to see how you view AI as a driver of progress and how you can contribute to shaping the future with us.
Highlight Relevant Experience: Make sure to showcase your experience in data science, especially with machine learning and statistical modelling. We’re looking for proven skills, so don’t hold back on detailing your past projects and successes!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your technical skills and experiences. We appreciate clarity, and it helps us understand how you can fit into our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at DraftKings Inc.
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning and statistical modelling skills. Be ready to discuss specific projects where you've implemented these techniques, especially in a production environment. This will show that you can lead data science projects from conception to deployment.
✨Show Off Your Programming Skills
Since proficiency in Python or R is key, be prepared to talk about your experience with these languages. Bring examples of how you've used them for data manipulation and visualisation. If you’ve worked with tools like Databricks, Kubernetes, or Kafka, make sure to highlight that too!
✨Collaboration is Key
DraftKings values teamwork, so think of examples where you've collaborated with cross-functional teams. Discuss how you’ve integrated data science solutions into production systems and how you’ve mentored junior data scientists. This shows you’re not just a lone wolf but a team player.
✨Communicate Like a Pro
You’ll need to communicate technical findings to non-technical stakeholders, so practice explaining complex concepts in simple terms. Prepare to share how your insights have supported data-driven decision-making in past roles. This will demonstrate your ability to bridge the gap between data science and business objectives.