Data Scientist: Causal Inference for Marketing Impact

A leading technology firm in Menlo Park is seeking a skilled Data Scientist to work in causal inference and marketing measurement research. You will design and optimize models to quantify marketing impact more accurately, collaborate with experts, and enhance performance. The ideal candidate has advanced Python skills and experience with Difference‑in‑Differences methodologies. This is a contract role paying between $90 and $110 per hour. #J-18808-Ljbffr