Manager, Decision Science

Summary

Join ZipRecruiter's Enterprise Decision Science team as a player-coach manager, leading a high-performing team and driving impactful insights for Enterprise customers. You will spend at least 50% of your time on hands-on project ownership. This pivotal role involves guiding the analytical function and collaborating cross-functionally to inform key product and business decisions with data-driven insights. Responsibilities include serving as a trusted leader for Enterprise stakeholders, enabling data-driven decisions through analysis and experimentation, delivering excellent presentations, mentoring decision scientists, and identifying opportunities to enhance Enterprise customer value. The position offers a hybrid work environment and a competitive salary and benefits package.

Requirements

• BS/BA in Mathematics, Computer Science, Physics, Economics, related technical field or equivalent professional experience
• 6+ years of professional experience in decision science, business analytics, data science, software engineering, or related field
• 2+ years of experience managing a team
• Intensive hands-on experience building actionable insight, A/B testing or observational study, using data to influence product strategy and roadmap
• In-depth engagement with cross-functional teams and building relationships
• Expert in SQL and one analytics programming language (Python or R), and data visualization tools

Responsibilities

• Serve as the trusted leader and partner for Enterprise stakeholders through a deep understanding of the products and business
• Enable data-driven decisions through analysis, experimentation, causal inference, and modeling
• Take ownership of projects and deliver excellent oral and written presentations
• Inspire, mentor, and grow decision scientists on your team and beyond
• Proactively identify new opportunities to drive Enterprise customer value

Preferred Qualifications

• MS/MA in Mathematics, Computer Science, Physics, Economics, related technical field or equivalent professional experience
• Ads experience or sponsored jobs in bidding system desirable
• Domain knowledge in practical A/B testing and causal inference
• Familiarity with machine learning algorithms and predictive modeling

Benefits

• Competitive salary
• Exceptional benefits package
• Flexible Vacation & Paid Time Off
• Employer-matched 401(k) plan