Director – Decision Science
Confirmed live in the last 24 hours
ZipRecruiter

1,001-5,000 employees

Online employment marketplace
Company Overview
ZipRecruiter’s mission is to actively connect people to their next great opportunity with their online job marketplace that connects millions of employers and job seekers. The company utilizes sophisticated AI-matching technology to analyze billions of user interactions to further improve their job search experience and also help businesses find the right candidates.
Locations
Palo Alto, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
Business Analytics
R
SQL
Python
CategoriesNew
Data & Analytics
Software Engineering
Requirements
  • BS in Mathematics, Computer Science, Physics, related technical field or equivalent professional experience
  • 8+ years of professional experience in decision science, business analytics, data science, software engineering, or related field
  • 4+ years of leadership experience, managing teams of managers and individual contributors
  • Extensive experience working with cross-functional teams and building relationships across different departments
Responsibilities
  • Serve as a trusted decision science and analytics partner to key business stakeholders
  • Define and champion initiatives that directly impact top- and bottom-line growth
  • Drive product development decisions and priorities using analytical frameworks and a data-first approach
  • Mobilize cross-functional teams to execute on strategic and operational insights
  • Build processes and institutional knowledge to improve ZipRecruiter's decision-making and execution capability
  • Inspire, mentor, and grow analysts, decision scientists, and managers on the Decision Science team
Desired Qualifications
  • MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent professional experience
  • 6+ years of leadership experience, managing a team of managers and individual contributors
  • Highly proficient in statistical software (R, Python), SQL, and data visualization tools
  • Familiarity with machine learning algorithms and predictive modeling