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- Tasks: Develop and deploy robust ML models and tools for sports analytics.
- Company: Dynamic sports advisory business based in Greater London.
- Benefits: Competitive salary, flexible working conditions, and remote work options.
- Why this job: Join a cutting-edge team and make an impact in the sports industry.
- Qualifications: Master's degree in STEM or equivalent experience; strong Python and SQL skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A sports advisory business in the Greater London area seeks a full-stack Data Scientist to develop and deploy robust models and tools. Candidates should have a Master's degree in a STEM field or equivalent experience, along with strong skills in Python and SQL. The role emphasizes building analysis pipelines and collaborating on automated workflows, primarily operating remotely with periodic in-person meetings. This position offers competitive salary and flexible working conditions.
Remote Data Scientist - Build Production ML Tools employer: Ludonautics
Contact Detail:
Ludonautics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Scientist - Build Production ML Tools
✨Tip Number 1
Network like a pro! Reach out to folks in the sports advisory and data science fields on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This is your chance to demonstrate your expertise in building production ML tools.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss your experience with analysis pipelines and automated workflows.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the extra step to connect directly with us. It shows initiative and enthusiasm!
We think you need these skills to ace Remote Data Scientist - Build Production ML Tools
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you’ve used these tools in real projects, so don’t hold back on the details!
Tailor Your CV: Customise your CV to match the job description. We’re looking for a full-stack Data Scientist, so emphasise any experience you have with building analysis pipelines and deploying models.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data science and how you can contribute to our team. Keep it engaging and relevant to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Ludonautics
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've built analysis pipelines in the past. Think of a couple of examples where you developed robust models or tools, and be ready to explain your thought process and the impact of your work.
✨Collaboration is Key
Since this role involves working remotely and collaborating with others, be prepared to discuss your experience with teamwork. Share examples of how you've successfully worked with others on automated workflows or similar projects.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data science, their current projects, or how they envision the role evolving. This shows your genuine interest and helps you gauge if it’s the right fit for you.
