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- Tasks: Design A/B tests and analyse data to influence product direction.
- Company: Leading Web3 firm with a focus on innovation.
- Benefits: Competitive salary up to $350K and dynamic work environment.
- Why this job: Join a small, impactful team and shape the future of products.
- Qualifications: 5+ years in data science, proficient in SQL and Python.
- Other info: On-site positions available in London or New York.
The predicted salary is between 43200 - 72000 £ per year.
A leading firm in Web3 is seeking an experienced Product Data Scientist to work on-site in London or New York. This role involves designing A/B tests, defining product metrics, and conducting analyses to shape product direction.
The ideal candidate has over 5 years in data science, is skilled in SQL and Python, and excels in communication.
We offer a competitive compensation package up to $350K, working in a dynamic environment with a small, impactful team.
Product Data Scientist: Growth & Experiments (On-site) in London employer: TechChain Talent
Contact Detail:
TechChain Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist: Growth & Experiments (On-site) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the Web3 space on LinkedIn or at meetups. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your A/B tests and analyses. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We want you to shine, so rehearse explaining your thought process clearly!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Product Data Scientist: Growth & Experiments (On-site) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with SQL and Python. We want to see how your skills align with the role of Product Data Scientist, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch.
Showcase Your Analytical Skills: Since this role involves designing A/B tests and defining product metrics, include examples of your past analyses. We want to see how you’ve used data to drive decisions and shape product direction in your previous roles.
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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at TechChain Talent
✨Know Your Data Science Stuff
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss your past projects and how you've used these tools to drive product decisions. They’ll want to see that you can not only analyse data but also translate it into actionable insights.
✨A/B Testing Mastery
Since this role involves designing A/B tests, be prepared to talk about your experience with them. Think of specific examples where your testing led to significant product improvements. Show them you understand the nuances of test design and analysis.
✨Metrics Matter
Familiarise yourself with key product metrics relevant to the company’s goals. Be ready to discuss how you define and measure success in your previous roles. This shows you’re not just a data whiz but also someone who understands the bigger picture.
✨Communication is Key
As a Product Data Scientist, you'll need to communicate complex data findings clearly. Practice explaining your analyses in simple terms, as if you were talking to someone without a data background. This will demonstrate your ability to collaborate effectively within a small team.
