Develop and deploy robust causal inference models to quantify the holistic business impact of new product launches (e.g. PSM, Double ML)
Act as a leader to establish standards for measurement for new product and feature launches
Provide technical mentorship for other members of the data science organization
Act as a thought partner for senior leadership to help guide our product development process

Requirements

PhD or Master’s degree in a quantitative field such as Economics, Statistics with 8+ years of distinguished industry experience
Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling
Deep theoretical and applied expertise in a wide range of quasi-experimental methods
A track record of influencing business and product strategy through data-driven, causal insights, and a proven ability to translate complex technical concepts to non-technical stakeholders.
Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Benefits

medical, dental, vision and 401(k)
bonus eligibility
equity eligibility

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

causal inference modelsPSMDouble MLSQLPythonRdata analysisstatistical modelingquasi-experimental methodsdata-driven insights

Soft Skills

leadershiptechnical mentorshipclear communicationpositive energycontinuous learningefficient executioninfluencing strategytranslating technical concepts

Certifications

PhDMaster’s degree