At a Glance
- Tasks: Lead a team of data scientists to develop innovative sports models and algorithms.
- Company: Join Genius Sports, a leader in immersive sports technology.
- Benefits: Competitive salary, wellness support, and opportunities for career growth.
- Other info: Inclusive culture with a focus on continuous improvement and teamwork.
- Why this job: Make an impact in sports tech while collaborating with top talent.
- Qualifications: BSc/MSc/PhD in Data Science or related field; strong leadership and data science skills.
The predicted salary is between 70000 - 90000 £ per year.
By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.
The Role
You will lead a team of data scientists developing the next generation of Genius Sports’ market leading sports models. These models act as the sporting brain behind many of Genius’s customer facing products, calculating the probabilities of outcomes across a wide range of sports.
How will you work?
Lead a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.
We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team’s domain. If you are looking to tackle hard problems, collaborate with high calibre engineers and deliver smart solutions with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you.
As a Senior Data Science Manager, you will oversee the implementation of predictive models across many sports. You will lead your team in the development of algorithms to calculate the probabilities of sporting outcomes.
What skills do you have?
- A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject
- Strong leadership skills with a proven track record of successful delivery of high impact solutions to complex data science problems
- Mentoring and Staff Development
- Expert knowledge of probability and statistics
- Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems.
- Proficiency with Python or other scripting/programming languages (R, Matlab, etc)
- Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You lead conversations that drive alignment and uncover edge cases others might miss.
- Familiarity with sports rules and strategies (football, American football, basketball, tennis, ice hockey, baseball, etc.)
It is advantageous for you to have knowledge of the following:
- Sports betting
- Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (Gitlab, AWS, Docker) and retraining
- Data engineering
- Rust, C++, other programming languages
- Real-time systems and/or high-performance computing
- Software System Design
- Software Development Lifecycle (SDLC)
What we expect from our co-workers
- Curiosity and strong desire to learn and improve
- Social skills, being able to act as a facilitator, can balance enabling others with individual contributions.
- Time management and asynchronous communication skills relevant for a geographically diverse engineering organization
- Enthusiasm and ability to work collaboratively within a team
- Excellent spoken and written English
- Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
Let us know when you apply if you need any assistance during the recruiting process due to a disability.
Senior Data Science Manager in London employer: Genius Sports
Genius Sports is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Data Science Manager role. With a strong emphasis on employee wellbeing, continuous learning, and professional growth, team members are empowered to tackle complex challenges in a supportive environment. Located in a vibrant setting, Genius Sports offers a unique opportunity to work with cutting-edge technology while being part of a diverse team that values inclusivity and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Genius Sports. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation showcasing your past projects and how you tackled complex data science problems. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready to discuss algorithms and models relevant to the role. Mock interviews with friends or mentors can really help you nail those tricky questions.
✨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 the Genius Sports team!
We think you need these skills to ace Senior Data Science Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Science Manager role. Highlight your leadership experience and any relevant projects that showcase your skills in data science and machine learning. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about sports data and how your background aligns with our mission at Genius Sports. Let us know what excites you about the role and how you can contribute to our innovative team.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise, especially in Python and machine learning algorithms. We’re looking for someone who can tackle complex problems, so provide examples of how you've successfully implemented predictive models or algorithms in the past.
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 ensure it gets the attention it deserves. Plus, you’ll find all the info you need about the role and our company culture there!
How to prepare for a job interview at Genius Sports
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of data science algorithms and techniques, especially those mentioned in the job description like Monte Carlo simulations and neural networks. Be ready to discuss how you've applied these in real-world scenarios.
✨Show Off Your Leadership Skills
Prepare examples that highlight your leadership experience, particularly in mentoring and developing teams. Think about specific challenges you've faced and how you guided your team to success, as this role is all about leading a high-performing squad.
✨Get Familiar with Sports
Since the role involves sports models, it’s crucial to have a solid understanding of various sports rules and strategies. Brush up on the sports listed in the job description and be prepared to discuss how your knowledge can enhance the predictive models you'll be working on.
✨Emphasise Collaboration and Communication
This position requires working closely with a multi-disciplinary team, so be ready to talk about your experience in collaborative environments. Highlight your communication skills and how you’ve facilitated discussions to drive alignment within teams.
