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- Tasks: Lead the development of data science capabilities and build a high-performing team from the ground up.
- Company: Rapidly growing retail startup with a focus on innovation and profitability.
- Benefits: Competitive salary, equity options, and opportunities for professional growth.
- Why this job: Shape the future of data science in a thriving company and make a real impact.
- Qualifications: Strong statistical background, coding skills, and experience with large datasets.
- Other info: Collaborate with top engineers and company leaders in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A rapid growth retail startup is seeking a Head of Data Science to develop their data science capabilities from scratch. The ideal candidate will have a strong statistical background and experience with large datasets, as well as coding skills. This role offers an exciting opportunity to work closely with top engineers and key company leaders. Join a company that is already generating significant profits and poised for continued growth.
Chief Data Scientist - Build Platform & Team from Scratch in London employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chief Data Scientist - Build Platform & Team from Scratch in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving large datasets. This will give you an edge and demonstrate your hands-on experience when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and statistical knowledge. Practice common data science interview questions and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly shows your enthusiasm for the role and helps us get to know you better.
We think you need these skills to ace Chief Data Scientist - Build Platform & Team from Scratch in London
Some tips for your application 🫡
Show Off Your Stats Skills: Make sure to highlight your strong statistical background in your application. We want to see how you've tackled large datasets in the past, so don’t hold back on those impressive projects!
Code Like a Pro: Since coding skills are a must for this role, include examples of your coding experience. Whether it's a project or a specific tool you’ve mastered, let us know how you’ve used your coding chops to solve real problems.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specifics of the job description. We love seeing candidates who take the extra step to connect their experience with what we’re looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you get all the latest updates from our team. Plus, it shows you’re serious about joining us!
How to prepare for a job interview at Wyatt Partners
✨Know Your Stats
Brush up on your statistical knowledge and be ready to discuss how you've applied it in real-world scenarios. Prepare examples of how you've tackled large datasets and the methodologies you used to derive insights.
✨Showcase Your Coding Skills
Be prepared to demonstrate your coding abilities, especially in languages relevant to data science like Python or R. Consider bringing a portfolio of projects or code snippets that highlight your problem-solving skills and creativity.
✨Understand the Business
Research the startup's business model and how data science can drive growth. Be ready to discuss how you would align data initiatives with their goals and contribute to their success in a rapidly evolving market.
✨Engage with the Team
Since this role involves working closely with engineers and company leaders, show your enthusiasm for collaboration. Prepare questions that demonstrate your interest in team dynamics and how you can contribute to building a strong data science culture from the ground up.
