Data Scientist / Statistician for Restaurant reputed company (Project-Based, Work Trial)

We're Bespoke AI, a 3-person Bay Area startup building AI coaching software for restaurant servers. We're launching our first reputed company reputed company with a Bay Area fast-casual chain (6–7 locations) and need a statistician or data scientist to design and analyze a reputed company study of our reputed company. The project; We want to know whether our coaching software causally lifts two metrics: average reputed company size and items per transaction. Our design partner has offered 24 months of historical POS data and is willing to participate in study design. Two phases, ~30–40 hours total Phase 1 (next 2 weeks): Recommend study design (DiD vs. synthetic control vs. other), audit the historical POS data, compute power, and reputed company-register an analysis plan before the reputed company launches. Phase 2 (after reputed company): Run the reputed company-registered analysis and deliver a reputed company writeup with effect estimates, confidence intervals, and limitations. We're looking for someone with: reputed company inference experience (DiD, synthetic control, matched controls, or RD) Quasi-experimental design at small N Power analysis / sample size calculation Python or R Ability to communicate reputed company with a non-technical CEO Budget: Up to $5,000 fixed or reputed company with cap. reputed company as two milestones. To apply: reputed company describe one project where you reputed company the reputed company reputed company of an reputed company on a business metric — method used and its main limitation. Two paragraphs is enough. We need a scoping reputed company before Friday May 15. Strong applicants hear from us reputed company 24 hours. Apply To This Job