Data science interviews when AI can write the notebook

Define the claim. Separate the evidence. Defend the decision.

Start with the evidence

A prediction is not an experiment.

Waymark · authored practice data
ChangeHumanSimulated
Earlier copy+2 pp+1 pp
New feeNot measured+3 pp
Open the evidence desk

Practice interviews

02 Simulated preference is not a human effect

“Unlike random assignment in a user experiment, neither assumption is guaranteed by design.” (opens the source)

Sebastian Ankargren, Joel Persson and Mårten Schultzberg, Senior Data Scientist; Research Scientist, Computational Economics; Senior Manager, Staff Data Scientist · Spotify Engineering, Aug 13, 2026

A new fee policy needs evidence about people, not just responses from a simulated panel.

Interactive investigationCan simulated responses justify a fee policy?

Sources

  1. Henokh Fibrianto and Larry Lin, Co-authors, Grab Tech, at the time. Grab Tech, “Powering AI-led research through simulation”, Oct 5, 2026. Open the source. Checked against the published text.
  2. Sebastian Ankargren, Joel Persson and Mårten Schultzberg, Senior Data Scientist; Research Scientist, Computational Economics; Senior Manager, Staff Data Scientist, at the time. Spotify Engineering, “When Can LLMs Replace Humans in A/B Tests?”, Aug 13, 2026. Open the source. Checked against the published text.
  3. Margarida Moreira da Silva, Author, Booking.com ML & DS Blog, at the time. Booking.com ML & DS Blog, “Outlier Handling at Scale in Experimentation”, Jul 1, 2026. Open the source. Checked against the published text.
  4. DoorDash, Global Operating Principles — Truth, at the time. DoorDash Careers, “DoorDash Analytics”, Undated. Open the source. Checked against the published text.
  5. Edgar Cano, Daisy Duursma, Nils Skotara and Melanie Mueller, Co-authors, Booking.com ML & DS Blog, at the time. Booking.com ML & DS Blog, “Scaling Experimentation Quality at Booking.com”, Mar 24, 2026. Open the source. Checked against the published text.

Last reviewed Nov 10, 2026