Sr. Manager, Decision Science

Posted 5 Days Ago
Be an Early Applicant
Santa Monica, CA
163K-258K Annually
Senior level
Big Data • HR Tech • Mobile • Software • Database
We Actively Connect People to Their Next Great Opportunity.
The Role
As the Sr. Manager of Decision Science at ZipRecruiter, you will lead a team to deliver results through data science and analytics to optimize the marketplace. You will oversee experiment design, influence stakeholders, create data visualizations, and mentor team members. Your role is crucial for key business decisions and product health monitoring in a fast-paced environment.
Summary Generated by Built In

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)

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 job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. 

Summary:

ZipRecruiter is looking for a passionate and experienced leader to join our Decision Science team. The Decision Science team applies science and quantitative methods to support key product decisions and actionable insight. As the Sr. Manager, Decision Science for marketplace optimization, you will partner with cross-functional teams to build optimal solutions for a two-sided marketplace.  This is a highly visible role, supporting key areas of the product and business.  

Key Focuses:

  • Effectively lead team to deliver results through data science, analytics, modeling, and experimentation. Key focus areas include marketplace ranking, monetization, and supply & demand.
  • Regularly lead weekly and monthly meetings. Effectively communicate findings and complex topics to all levels of management.  
  • Influence your stakeholders and executives to make better product decisions. Be willing to tell uncomfortable truths. Back your suggestions by demonstrating strong product and business sense.
  • Build clear and compelling data visualizations so that your stakeholders can analyze product health and monitor marketplace performance.
  • Work in a fast-paced and result-driven environment. Meet deadlines and regularly deliver accurate results under quick turnaround times 
  • Mentor and train team members to deliver to expectations. Provoke new and deep thinking in your team. Level up their understanding of our product data.

Minimum Qualifications:

  • Bachelor's degree in a quantitative field such as mathematics, computer science, statistics, or economics (or equivalent experience)
  • 8+ years of applied experience in the areas of data/decision science, analytics, modeling data engineering, and/or other technical field and 4+ years of people management experience 
  • Experience designing experiments, testing, and utilizing statistical principles to inform business decisions
  • Applied experience with causal inference and probabilistic models  to support A/B testing
  • Advanced SQL knowledge
  • Proficient experience with statistical programming in R or Python

Preferred Qualifications:

  • Master’s or Ph.D. in a quantitative field such as mathematics, computer science, operations 
  • Experience supporting employer marketplace products or other two-sided marketplaces.
  • Expert knowledge in the areas of ML, Statistics, and/or data engineering.

As part of our team you’ll enjoy:

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

#LI-Remote

The US base salary range for this full-time position is $162,500-$257,500. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Top Skills

Python
R
SQL
The Company
HQ: Santa Monica, CA
1,100 Employees
Hybrid Workplace
Year Founded: 2010

What We Do

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 partnerships with the best job boards on the web. We're growing rapidly in pursuit of this mission, and we're always looking for talented people to join our team. Visit ziprecruiter.com/careers to view our open roles.

Why Work With Us

We are committed to nurturing an environment where every person feels welcomed, valued, heard, and respected. We embrace and encourage our employees’ differences, and we consistently review our overall equality—including recruitment and selection, compensation and benefits, promotions, and more—to stay relevant in this space.

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