At a Glance
- Tasks: Lead a team of data scientists to develop innovative sports models and algorithms.
- Company: Genius Sports, a leader in immersive sports technology.
- Benefits: Competitive salary, employee wellbeing support, and career growth opportunities.
- Other info: Join an inclusive culture that values curiosity and continuous improvement.
- Why this job: Make a real impact in sports tech while collaborating with top talent.
- Qualifications: BSc/MSc/PhD in Data Science or related field, strong leadership, and data science expertise.
The predicted salary is between 60000 - 80000 £ 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 personalised than ever before.
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 wider 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 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.
- 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 maximise 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. One team, being brave, driving change. 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 employer: Genius Sports
Genius Sports is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to tackle complex data science challenges in the dynamic world of sports. With a strong commitment to employee wellbeing, continuous learning, and career growth, team members enjoy a competitive salary and a range of benefits, all while working in a vibrant office-first environment that encourages connection and teamwork. Join us to be part of a diverse team that values inclusivity and drives meaningful change in the sports industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Manager
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Genius Sports!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Science Manager at Genius Sports.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Genius Sports.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Science Manager at Genius Sports, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Science Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Genius Sports, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Genius Sports. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Genius Sports
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Genius Sports!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
