Lead Decision Scientist

ZipRecruiter•Santa Monica, CA

1d•$170,000 - $200,000•Hybrid

About The Position

We are looking for a Lead Decision Scientist to join our Jobseeker Decision Science team at ZipRecruiter. This role is pivotal in accelerating business-focused decision-making for key product and business initiatives. As a Lead Decision Scientist supporting the Jobseeker Team , you will leverage your expertise to deliver high-quality, actionable insights for cross-functional teams, balancing analytical rigor with speed to insight.

Requirements

Bachelor's degree in a quantitative field such as mathematics, computer science, operations research, economics, or equivalent experience.
6+ years of product analytics or data science experience in a product/engineering/tech environment.
Experience with designing experiments, A/B testing, and utilizing statistical principles to inform business decisions.
Strong business acumen and a demonstrated ability to connect data analysis to measurable business outcomes.
Strong communication and presentation skills, with experience synthesizing complex findings for both technical and non-technical audiences, including executive leadership.
Proficient in statistical computing and scripting languages such as Python, R, SQL.

Nice To Haves

Prior experience with two-sided marketplaces (e.g., job boards, e-commerce, or similar platforms).
Master’s degree or PhD in a quantitative field.
Experience in a technical lead or IC leadership role.

Responsibilities

Drive Business Outcomes & Decision Making: Serve as a trusted partner for Product and Engineering stakeholders, translating complex data into clear, business-focused decisions. Enable impact through analysis, experimentation, causal inference, and modeling, ensuring timely and data-based insights.
Become a Subject Matter Expert : Identify opportunities, define metrics, and build analytical frameworks that guide product success.
Excellent Communication & Strategic Translation: Synthesize and communicate complex analytical findings to executive leadership and senior stakeholders in product and engineering, translating them into clear, actionable business strategies.
High-Impact Project Leadership: Driving the end-to-end execution on key initiatives, from hypothesis generation and experimental design through to post-launch analysis and recommendation.
Technical Leadership: Providing guidance and direction to the team's technical roadmap, standards, and best practices for experimentation, causal inference, and AI tooling.
Mentoring: Upleveling our junior IC talent through dedicated mentorship on technical skills, communication, and business acumen.
Experimentation Excellence & Speed: Design and analyze large-scale A/B tests, utilizing advanced statistical techniques to ensure validity and rigor in product decision-making, while driving efficiency to deliver rapid, reliable insights.