ZipRecruiter is hiring a
Lead Decision Scientist

Summary

Join our Enterprise Decision Science team at ZipRecruiter as a Lead Decision Scientist to drive value for our Enterprise customers and provide data-driven insights for key product and business decisions.

Requirements

• BS in a quantitative field such as statistics, computer science, operations research and economics
• 5+ years of professional experience in decision science, data science, business analytics, software engineering, or related field; 1+ years of experience as a Lead, Principle, or senior-level Scientist/Analyst, managing complex projects or early stage products
• Intensive hands-on experience building actionable insight, A/B testing or observational study, using data to influence product strategy and roadmap
• Expert in SQL and one analytics programming language (Python or R), and data visualization tools
• Experience working with large datasets and both structured & unstructured data

Responsibilities

• Serve as the trusted partner for Enterprise stakeholders through a deep understanding of the products and business
• Enable data-driven decisions through analysis, experimentation, causal inference, and modeling
• Regularly provide ad-hoc analysis and reporting to support cross-functional teams and leadership
• Collaborate closely with stakeholder teams and deliver to expectations
• Proactively identify new opportunities to drive Enterprise customer value
• Take ownership of projects and deliver excellent oral and written presentations
• Build new processes and institutional knowledge to improve ZipRecruiter’s broader decision-making and execution capabilities
• Regularly document work and code, with attention to detail and extensibility
• Inspire, mentor, and grow the capabilities on your team and beyond

Preferred Qualifications

• MS/PhD in a quantitative field such as statistics, computer science, operations research, and economics
• 3+ years of experience as a Lead, Principle, or senior-level, ideally managing big initiatives and early stage products
• Ads experience or sponsored jobs in bidding system highly desirable
• Domain knowledge in practical A/B testing and causal inference
• Familiarity with machine learning algorithms and predictive modeling
• Experience working with Spark and/or Databricks

Benefits

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