At a Glance
- Tasks: Lead a team to implement predictive models in sports using advanced algorithms.
- Company: Genius Sports, a leader in sports data and technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and performance.
- Why this job: Make a real impact in sports analytics while leading a talented team.
- Qualifications: Experience in data science and leadership in an Agile environment.
The predicted salary is between 63000 - 77000 £ per year.
Genius Sports in London is seeking a Senior Data Science Manager to oversee the implementation of predictive models across multiple sports. You will lead a team of data scientists and engineers, delivering high-impact solutions with an autonomous, performance-focused approach.
The role emphasizes advanced algorithms (Monte Carlo, neural networks, logistic regression, random forests), collaboration in a multi-disciplinary Agile squad, and a strong emphasis on delivering smart, reliable outcomes.
Senior Data Science Manager — Lead Sports ML Team in London employer: Genius Sports Group
Genius Sports Group is an exceptional employer that prioritises employee wellbeing and professional growth, making it an ideal place for those looking to thrive in the tech industry. Located in a dynamic environment, you will have the opportunity to lead innovative enterprise technology initiatives while collaborating with a dedicated team, ensuring that your contributions directly enhance business performance. With a strong emphasis on governance and compliance, you will be part of a culture that values meaningful work and fosters continuous development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Science Manager — Lead Sports ML Team in London
✨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 Group!
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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 Group.
✨Apply Directly through Our Website
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We think you need these skills to ace Senior Data Science Manager — Lead Sports ML Team in London
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 Group, 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 Group. 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 Group
✨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 Group!
✨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.
