Head of Consumer Decision Science

Data & Analytics San Francisco, California


At Glassdoor, our mission is to help people everywhere find a job and company they love. We do that by matching people with the best jobs for them. This is a hard problem and we are looking for curious and brilliant individuals who are up for revolutionizing the way people find and choose jobs.

We have raised $160 million from top-tier VCs such as Google Capital, Tiger Global and Benchmark and we are on a hyper-growth trajectory. Each month, around 50M users visit Glassdoor, but our aspiration is to enable every person in the world with deep content & jobs information. We need your help to accelerate this growth further... Come join us!

Position based in beautiful Bay Area! San Francisco and Mill Valley locations are both available! 

Decision Science @ Glassdoor:

The Decision Science team drives data-driven strategy and decision making across the company through predictive analytics, testing and optimization.  We work on a wide variety of problems by proactively identifying opportunities. We drive product prioritization and inform business strategy by developing a deep understanding of our users and clients. The Decision Science team is partner to our department leaders and executive team to drive sound data-based decision making across Product, Marketing, and Sales teams.  We define data-driven cross-functional initiatives, and drive execution.

This Role:

The Head of Consumer Decision Science will head up a team of 5-6 decision scientists working with the Consumer team.  You will drive deep and holistic understanding of our users, for example: What drives users engagement? What are the drivers of repeat visits?  What is the optimal frequency and relevancy threshold for job alerts? What is the LTV of a user across various channels? How should we track and measure TV and radio campaigns?  What should be our mobile app and mobile web strategy? Which new features and products should we be working on? You'll generate a number of hypothesis and inform decision making for all these questions.  In addition, you’ll define detailed data requirements and prioritize them with the Data Engineering team and ensure that data solutions developed are intuitive and meet the needs of the business users.


The ideal candidate will be extremely results driven and passionate about winning. You exercise very sound judgment and have the ability to balance sophistication with simplicity, scientific rigor with pragmatism and agility with quality.

  • 6+ years of quantitative experience, ideally in an Internet company
  • Degree in areas like Statistics, Operations Research, Physics, Computer Science, Economics, etc.
  • Ability to partner with executives, business stakeholders and product managers to define roadmaps
  • Strong sense of ownership and take initiative while empowering others to do the same
  • Experience hiring, mentoring, and managing a team of decision scientists
  • Strong applied analytics and problem solving skills
  • Experience working with large data-sets, modeling, statistics, A/B & multivariate testing
  • Proficiency at SQL, R or Python

Why Glassdoor?

  • Work with purpose – join us in creating transparency for job seekers everywhere
  • Glassdoor gives back! Glassdoor is a Pledge 1% member; all employees receive 3 paid volunteer days per year
  • 100% company paid medical/dental/vision/life coverage, with 80% dependent coverage
  • Equity in a late stage startup backed by top-tier VCs
  • Conveniently located office in the heart of downtown San Francisco (Embarcadero)
  • Fully-stocked break rooms with complimentary food and drinks
  • Paid holidays and flexible paid time off
  • Your choice between Mac or PC

Glassdoor is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Glassdoor is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.