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- Tasks: Lead data science projects and develop advanced models for trading automation.
- Company: Join DraftKings, a cutting-edge tech company shaping the future of AI in trading.
- Benefits: Competitive salary, innovative work environment, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact on trading strategies.
- 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.
As a Senior Data Science Engineer on our Trading Intelligence Team, you will play a pivotal role in driving our data science initiatives forward. You will develop solutions that power our platform and drive our business 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
- 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.
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: AI for Trading & Automation employer: DraftKings Inc.
Contact Detail:
DraftKings Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Engineer: AI for Trading & Automation
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and automation. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your thought process clearly, as communication is key in collaborative environments like DraftKings.
✨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 our innovative team.
We think you need these skills to ace Senior Data Science Engineer: AI for Trading & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Science Engineer role. Highlight your proficiency in Python or R, and any experience with machine learning and statistical modelling. We want to see how you can contribute to our innovative projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our Trading Intelligence Team. We love seeing enthusiasm and a clear understanding of our mission.
Showcase Your Projects: If you've worked on relevant data science projects, don’t hold back! Include links to your GitHub or any portfolios showcasing your work. We’re keen to see how you’ve tackled complex problems and delivered results in the past.
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 you’re serious about joining our team and shaping the future of AI together!
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 algorithms you've implemented and the impact they had on previous projects. This role is all about driving data science initiatives, so showing your expertise will definitely impress.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've tackled in the past. Break down your thought process and how you approached these challenges. The interviewers will want to see how you can translate your analytical skills into actionable insights for their business.
✨Familiarise Yourself with Their Tech Stack
Since this role involves working with tools like Python, R, Kubernetes, and Kafka, make sure you're comfortable discussing your experience with these technologies. If you have any hands-on experience with Databricks or automated trading systems, be sure to highlight that as well!
✨Communicate Clearly and Confidently
You'll need to convey technical findings to non-technical stakeholders, so practice explaining your work in simple terms. Use examples from your past experiences to illustrate your points. Clear communication is key to supporting data-driven decision-making in their teams.