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For Companies At a Glance
- Tasks: Design A/B tests and analyse data to shape product direction.
- Company: Fast-moving team in Web3, based in London or New York.
- Benefits: Compensation up to $350k and collaborative work environment.
- Why this job: Directly influence millions of users on a rapidly growing platform.
- Qualifications: 5+ years in data science, expert in SQL and Python.
- Other info: Join a high-impact team focused on experimentation and growth.
We are looking for a Product Data Scientist to join a fast-moving team building one of the most data-driven products in Web3. You will work on-site with engineers, PMs, and designers to shape product direction through experimentation, behavioural analysis, and deep product insights. This isn’t a back-office analytics role; your work will directly influence how millions of users engage with a rapidly growing on-chain platform.
What You’ll Do
- Design and analyze A/B tests and product experiments to guide feature development and growth.
- Define key product metrics and success indicators with Product and Engineering teams.
- Build and maintain dashboards and data pipelines to monitor performance and retention.
- Conduct deep-dive analyses into user and token behaviour to uncover growth opportunities.
- Help shape an internal experimentation and insights framework that drives faster iteration and smarter decisions.
What We’re Looking For
- 5+ years in Data science, experimentation, or growth analytics.
- Expert in SQL and Python (or R).
- Proven track record running and interpreting A/B tests and causal inference studies.
- Strong understanding of funnel metrics, cohort analysis, and retention modelling.
- Excellent communication and storytelling able to turn complex data into actionable insights.
- Excited about Web3, experimentation, and building at speed.
Why This Role
- On-site only: London or New York we believe in collaboration, creativity, and fast feedback loops.
- Compensation up to $350K.
- Work in a small, high-impact team shaping the data and experimentation strategy behind one of the fastest-growing platforms in Web3.
If you’re a data scientist who thrives on experimentation, loves building from first principles, and wants your work to drive product decisions we’d love to talk.
Product Data Scientist (London or New York) employer: TechChain Talent
Contact Detail:
TechChain Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Scientist (London or New York)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your past A/B tests and analyses. We want to see how you think and approach problems, so practice explaining your thought process clearly.
✨Tip Number 3
Show your passion for Web3! When chatting with potential employers, let them know why you’re excited about this space. We love candidates who are genuinely interested in shaping the future of technology.
✨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’re always looking for talented individuals to join our fast-moving team!
We think you need these skills to ace Product Data Scientist (London or New York)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Product Data Scientist role. Highlight your expertise in SQL, Python, and any relevant A/B testing experience to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about Web3 and how your background in data science can contribute to our team. Share specific examples of your past work that align with what we’re looking for.
Showcase Your Communication Skills: Since storytelling is key in this role, make sure your application demonstrates your ability to turn complex data into clear insights. Use straightforward language and avoid jargon where possible.
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 our team!
How to prepare for a job interview at TechChain Talent
✨Know Your Data Tools
Make sure you're well-versed in SQL and Python (or R) before the interview. Brush up on your skills and be ready to discuss how you've used these tools in past projects, especially in A/B testing and causal inference studies.
✨Showcase Your Experimentation Experience
Prepare specific examples of A/B tests or product experiments you've designed and analysed. Be ready to explain the metrics you defined, the insights you gained, and how they influenced product decisions. This will demonstrate your hands-on experience and understanding of growth analytics.
✨Communicate Clearly
Practice turning complex data into simple, actionable insights. During the interview, focus on storytelling—explain your thought process and how your analyses have led to tangible outcomes. This will highlight your communication skills, which are crucial for this role.
✨Be Passionate About Web3
Show your enthusiasm for Web3 and the potential it holds. Research the company’s products and be prepared to discuss how you see data science playing a role in their future. This will help you connect with the team and show that you're genuinely interested in the position.
