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Practice-only question bank bank-v1 (2026-10-14): prompts remain DRAFT and are available for personal learning, not represented as reviewed or approved interview content.
Practising for the listing Data Scientist, Growth. Its requirements are filled in below. When you have an answer you like, paste it with your CV in Career Mirror to see which of the job's skills it shows.

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Requirements found

Marketing Onboarding Budgeting Sql Python Sales Training (must) Recruiting

What this posting asks for

Level: Senior — The posting asks for 7+ years of experience.

Main responsibilities

  • Across both focus areas, you will:
  • Design and analyze A/B tests and quasi-experiments across activation, retention and monetization, and turn the results into a clear call on what to ship
  • Define systems of metrics and guardrails that tie short-term wins to long-term value
  • Present analyses and recommendations to technical and non-technical audiences, leading with the decision and keeping the numbers in support
  • In the Growth generalist focus, you will also:
  • Size opportunities and make the case for what Growth should work on next
  • Measure the incrementality of paid and lifecycle marketing with holdouts, geo experiments and other causal methods, and turn the results into budget and chan…
  • Tie acquisition and lifecycle programs to long-term value (LTV, CAC and payback)
  • In the Personalization focus, you will also:
  • Build and ship targeting and personalization models that decide which users get which message, offer or experience, working closely with growth product manag…

Competencies an interviewer will look for

  • Technical skill Core
    In the posting: “Proficiency with Python and SQL” · “Experience using LLMs or coding agents in your own analytical workflow” · “Experience with lifecycle or CRM personalization (email, push, in-product messaging) and its measurement problems, such as global holdouts and interference b…”
    Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off.
  • Communication Core
    In the posting: “Clear written communication, and a track record of recommendations that changed priorities or what a team built” · “If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.” · “As such, we greatly value communication skills.”
    Show it by: Adapts the message to the listener; Gives an example of explaining something clearly in writing or speech.
  • Teamwork and collaboration Core
    In the posting: “Much of our analysis, reporting and experiment work is done with Claude as a collaborator, and we expect you to push that further.” · “In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic.” · “We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.”
    Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled.
  • Data and analysis Core
    In the posting: “Growth Data Scientists partner closely with growth product managers, engineers and marketers on experimentation, opportunity sizing, strategic analysis, metr…” · “Growth generalist: a strong generalist across marketing and product who drives experimentation, opportunity sizing, marketing measurement and strategic analy…” · “Much of our analysis, reporting and experiment work is done with Claude as a collaborator, and we expect you to push that further.”
    Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.
  • Attention to detail and quality Core
    In the posting: “Design and analyze A/B tests and quasi-experiments across activation, retention and monetization, and turn the results into a clear call on what to ship” · “Design the tests that evaluate and iterate on our personalization strategy, including holdouts, bandits and off-policy estimates where A/B tests aren't pract…” · “Deep expertise in experimental design and causal inference, including A/B testing at scale, holdouts and quasi-experimental methods when randomization isn't …”
    Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
  • Adaptability and learning Core
    In the posting: “A bias for action and comfort in ambiguous, fast-moving environments” · “We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely…”
    Show it by: Describes learning something new quickly and using it; Shows a change of plan and how they adjusted.
  • Planning and organisation Supporting
    In the posting: “Clear written communication, and a track record of recommendations that changed priorities or what a team built”
    Show it by: Shows how priorities were set when everything was urgent; Mentions deadlines met and how.

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Practice questions

  1. Tell me about yourself. Dedicated step-by-step practice.
  2. If an interviewer asks something improper How to respond to questions about age, family, origin or health.
  3. Built from this posting (8):
  4. Walk me through a piece of work where you used your strongest technical skill. What exactly did you do? From this posting
  5. Tell me about a time you had to explain something complex to someone outside your field. From this posting
  6. Describe a time you worked with another team to deliver something. What was your part? From this posting
  7. Tell me about a time you used data or numbers to make a decision. From this posting
  8. How have you used training in your work? Walk me through one real example. From this posting
  9. Tell me about a problem you solved using marketing. From this posting
  10. Tell me about a time you helped someone on your team get better at their work. From this posting
  11. You have three urgent tasks due today and time to finish only two. How do you decide? From this posting
  12. This posting reads as Data analysis: its questions come first.
  13. Tell me about an analysis that changed a decision. Data analysis
  14. How do you check that a query or spreadsheet you built gives the right answer? Data analysis
  15. Describe a new tool or technique you learned to finish a piece of work. Data analysis
  16. Describe a time you found that the data you were given was wrong. Data analysis
  17. A manager asks you for 'the numbers' by tomorrow with no further detail. What do you do? Data analysis
  18. What makes a dashboard useful, and how have you built one? Data analysis
  19. Tell me about a time you explained a statistical result to people without a data background. Data analysis
  20. Sales dropped 15% last month. How would you find out why? Data analysis
  21. Tell me about a sale or agreement you are proud of.
  22. Walk me through how you would check whether a report's numbers are right.
  23. Describe a time you handled an upset customer or colleague.
  24. Tell me about a time you had several deadlines at once. How did you decide what to do first?
  25. Give an example of a mistake you caught before it caused a problem.
  26. Tell me about a time you taught someone how to do something.
  27. Describe a time you took the lead without being asked.
  28. Tell me about a time you had to explain something complicated in simple terms.
  29. Describe a process you improved.
  30. Do you have any questions for us?
  31. Why do you want to work here?
  32. Why is there a gap in your employment? Difficult question
  33. Why did you leave your last job? Difficult question
  34. Why are you changing careers? Difficult question
  35. What is your greatest weakness? Difficult question
  36. What are your salary expectations? Difficult question
  37. You seem overqualified for this role. Why do you want it? Difficult question
  38. Improper-question practice: How old are you? / Do you have children? / Where are you from originally?
  39. A customer is angry about a delay you did not cause. What do you do?
  40. How do you keep track of many open customer requests?
  41. Tell me about a time you could not give a customer what they wanted.
  42. You find that the inventory count does not match the system. What do you do?
  43. Tell me about a time a shipment or delivery went wrong.
  44. How do you make sure safety rules are followed on a busy shift?
  45. Two managers ask you to book the same room at the same time. What do you do?
  46. How have you used spreadsheets in your work?
  47. Tell me about a time you had to enter or check a lot of data accurately.
  48. A prospect says your price is too high. How do you respond?
  49. How do you keep your pipeline organised?
  50. Tell me about a technical problem you solved on your own.
  51. You find a bug right before a release. What do you do?