Business and Marketing Data Scientist

Mountain View, CA (Hybrid)

$178K/yr – $198K/yrMid LevelFull time

Posted 7 days ago

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Job Summary

Own and drive causal inference initiatives end to end, from study design to executive storytelling, leveraging Bayesian methods and ML to uncover actionable business insights.

Lead design and execution of causal studies addressing key business questions
Apply Bayesian statistics and machine learning to extract insights from data
Communicate findings to executives and cross-functional partners

Job Description

Responsibilities

Design and execute causal studies to address critical business questions.
Leverage advanced statistical models to find business insights in experimental and observational data.
Present and communicate actionable insights and recommendations to executives and cross-functional partners.
Serve as a peer reviewer and consultant for causal studies across the organization.
Stay current with the latest advancements in causal inference.

Requirements

PhD degree in Economics, Statistics, Biostatistics or a related field, and experience in the job offered or in a Business and Marketing Data Scientist-related occupation.
Position requires experience in the following: Causal inference; Bayesian statistics; Machine Learning; R or Python; and SQL.