Manager, Decision Science

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ZipRecruiter

πŸ’΅ $172k-$225k
πŸ“Remote - Worldwide

Summary

Join ZipRecruiter's Enterprise Decision Science team as a player-coach manager or tech lead. You will lead a small team, own projects, and deliver impactful insights to Enterprise customers. The role involves deep data analysis, experimentation, and cross-functional collaboration to inform product and business decisions. You will mentor team members and identify opportunities to enhance customer value. This hybrid role offers a competitive salary and exceptional benefits, including flexible vacation and paid time off, and an employer-matched 401(k) plan. The salary range is $172,500-$225,000.

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
  • 1+ 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 partner and leader for Enterprise stakeholders through a deep understanding of the products and business
  • Enable data-driven decisions through deep dive, 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

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