Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data, design experiments, and develop metrics to enhance product performance.
- Company: Leading cryptocurrency platform in the UK with a focus on innovation.
- Benefits: Competitive salary, bonuses, equity eligibility, and a dynamic work environment.
- Why this job: Join a cutting-edge team and make a real impact in the crypto space.
- Qualifications: BA/BS in a quantitative field and 2+ years of relevant experience required.
- Other info: Strong SQL and Python skills needed; statistical knowledge is a plus.
The predicted salary is between 36000 - 60000 £ per year.
A leading cryptocurrency platform in the United Kingdom is seeking a Data Scientist II - Product Analytics. In this role, you will perform analyses, design experiments, and develop metrics to drive product improvements.
The ideal candidate has a BA/BS in a quantitative field and at least 2 years of relevant experience. You must have strong SQL and Python skills, along with a grasp of statistical concepts.
This position offers competitive compensation including salary, bonuses, and equity eligibility.
Impact-Driven Data Scientist II — Product Analytics in London employer: Coinbase
Contact Detail:
Coinbase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Impact-Driven Data Scientist II — Product Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analyses and experiments. This is your chance to demonstrate your SQL and Python prowess, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on statistical concepts and be ready to discuss how you've used them in past projects. We want to see how you think and solve problems.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Impact-Driven Data Scientist II — Product Analytics in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in your previous roles, so don’t hold back on the details!
Quantitative Background Matters: Since we're looking for someone with a BA/BS in a quantitative field, be sure to mention your educational background clearly. We love seeing how your studies relate to the role!
Be Data-Driven: As a Data Scientist, your ability to analyse and interpret data is key. Include examples of analyses or experiments you've designed that led to product improvements. Show us your impact!
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!
How to prepare for a job interview at Coinbase
✨Know Your Data
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these tools to analyse data or drive product improvements. Having concrete examples will show your expertise and how you can contribute to their team.
✨Understand Statistical Concepts
Since the role requires a solid grasp of statistical concepts, take some time to review key principles like hypothesis testing, regression analysis, and A/B testing. Be ready to explain how you've applied these concepts in past roles, as this will demonstrate your analytical thinking.
✨Prepare for Problem-Solving Questions
Expect to face problem-solving scenarios during the interview. Practice articulating your thought process when tackling data-related challenges. This could involve designing an experiment or interpreting data results, so think through how you would approach these tasks in a real-world context.
✨Show Your Impact
Highlight your previous work's impact on product analytics. Use metrics and outcomes to illustrate how your analyses led to tangible improvements. This will not only showcase your skills but also align with the company's focus on driving product enhancements through data.
