The posting, in ZipRecruiter's own words
archived Oct 21, 2026We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Our Mission:
To actively connect people to their next great opportunity.
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Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary:
As a Sr. Decision Scientist supporting the Mobile App team, you will partner closely with product management, engineering, and design to shape and optimize the mobile user experience across acquisition, engagement, and retention. You will leverage rigorous analysis, experimentation, and causal inference to evaluate product performance, uncover user behavior insights, and identify opportunities to improve app engagement and growth. You will translate insights into product strategy, prioritize high-impact initiatives, and help deliver seamless mobile experiences that drive both business growth and job seeker success.
Key Focuses:
Define KPIs and create reports and dashboards against large data sets to track performance. Turn ambiguous questions into clear analytical problems and solve them using data. Become deeply familiar with product data, understanding its limitations and caveats, to support development and growth. Design, execute, and analyze experiments that drive product growth and improvement. Create readable and informative data visualizations, documentation, and presentations to communicate insights to stakeholders and executives.
Minimum Qualifications:
Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience) 5+ years of product analytics experience (optional: in a product/engineering/tech environment) Experience designing experiments, testing, and utilizing statistical principles to inform business decisions Proficient in statistical computing and scripting languages such as Python, R, SQL