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For Companies At a Glance
- Tasks: Lead data science projects, develop models, and analyse large datasets to enhance our products.
- Company: Join DraftKings, a leader in digital sports entertainment and gaming innovation.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and mentorship.
- Other info: Be part of a team that values creativity and collaboration in a fast-paced industry.
- Why this job: Tackle exciting challenges while shaping the future of responsible gaming and sports experiences.
- Qualifications: Proven data science experience, strong machine learning skills, and a relevant degree required.
The predicted salary is between 43200 - 72000 £ per year.
We\’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.
Here, \”impossible\” isn\’t part of our vocabulary. You\’ll face some of the toughest but most rewarding challenges of your career. They\’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.
The Crown Is Yours
DraftKings is a leader in the digital sports entertainment and gaming industry. We provide a world-class, immersive experience for our users and are at the forefront of technological innovation in the industry. Our Sports Intelligence team plays a critical role in developing solutions that power our platform and drive our business forward. We are forming a new unit focused on driving automation and efficiency within our Sportsbook. You\’ll build complex low latency systems to support data science decision-making at scale, to unlock more value for the business.
As a Senior Data Science Engineer at DraftKings, you will play a pivotal role in driving our data science initiatives forward. You will be responsible for developing advanced models and algorithms, analyzing large datasets, and providing actionable insights to enhance our product offerings and business operations..
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.
- Experience developing LSTM-based models for sequential forecasting or behavioral modeling.
- Familiarity with probabilistic graphical models (e.g., Bayesian networks, Markov random fields) for structured data relationships.
- 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.
#LI_SM1
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. #J-18808-Ljbffr
Senior Data Science Engineer employer: Sky Star Eight Limited
Contact Detail:
Sky Star Eight Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data science and machine learning, especially focusing on LSTM-based models and probabilistic graphical models. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the sports and entertainment tech industry. Attend relevant meetups or webinars where you can connect with current employees at DraftKings or similar companies. Building these relationships can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented machine learning algorithms or automated trading systems. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills and technical expertise.
✨Tip Number 4
Demonstrate your collaborative spirit by highlighting experiences where you've worked with cross-functional teams. Emphasising your ability to communicate complex technical findings to non-technical stakeholders will show that you're not just a data whiz, but also a team player who can drive data-driven decision-making.
We think you need these skills to ace Senior Data Science Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and statistical modelling. Emphasise any projects where you've developed LSTM-based models or worked with probabilistic graphical models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports and entertainment technology. Discuss how your skills align with the role and mention specific experiences that demonstrate your ability to lead data science projects and collaborate with cross-functional teams.
Showcase Technical Skills: Clearly outline your proficiency in programming languages like Python or R, and any experience with tools such as Kubernetes, Kafka, or Databricks. Providing examples of how you've used these technologies in past roles can strengthen your application.
Highlight Problem-Solving Abilities: Use specific examples to illustrate your problem-solving skills. Describe situations where you broke down complex problems into manageable tasks and delivered high-quality results, especially in a team environment.
How to prepare for a job interview at Sky Star Eight Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning and statistical modelling in detail. Highlight specific projects where you've developed LSTM-based models or worked with probabilistic graphical models, as these are crucial for the role.
✨Demonstrate Problem-Solving Abilities
Expect to face complex problem scenarios during the interview. Practice breaking down these problems into manageable tasks and explaining your thought process clearly, as this will showcase your analytical skills.
✨Emphasise Collaboration Experience
Since the role involves working with cross-functional teams, share examples of how you've successfully collaborated with others in past projects. This will demonstrate your ability to work well in a team environment.
✨Prepare for Technical Questions
Brush up on your programming skills, particularly in Python or R. Be ready to answer technical questions or even solve coding challenges related to data manipulation and visualisation tools during the interview.