Quantitude S7E06 Non-Academic Jobs: A Conversation with Jeremy Miles
14 snips
Oct 21, 2025 In this discussion, Jeremy Miles, a quantitative methodologist with experience in both academia and industry, shares insights on transitioning to non-academic careers. He reveals the intriguing variations between academic precision and industry speed, emphasizing the importance of practical problem-solving. Jeremy also highlights his work in trust and safety on video platforms and the challenges of data reliability. With anecdotes about Formula One and workplace culture, he offers a candid look at what drives satisfaction in data-driven roles while debunking common industry myths.
AI Snips
Chapters
Books
Transcript
Episode notes
Tackle New Problems Pragmatically
- Solve novel problems by asking how to obtain correct estimates and standard errors rather than forcing standard tools.
- Be willing to develop pragmatic solutions when theoretical methods don't directly apply.
Good-Enough Answers Under Time Pressure
- Industry work demands actionable, timely answers even if they are 'correct-ish' rather than statistically perfect.
- Engineers and systems require fast approximations because production constraints force truncated computation.
CausalImpact: Research To Practice
- Jeremy cited the causalimpact package as an example of industry-relevant methods that originated in research.
- The package addresses time-series causal inference for experiments where interventions leak across units.
