Lead Decision Scientist

Our Mission: 

To actively connect people to their next great opportunity.

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:

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.

Key Focuses:

• 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.

Minimum Qualifications:

• 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.

Preferred Qualifications:

• 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.

As part of our team you’ll enjoy: 

• Competitive salary
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