Manager, Decision Science

Data & Analytics Mill Valley, California


Description

At Glassdoor, our mission is to help people everywhere find a job and company they love. We do that through data science – 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, more than 30M 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!

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. We drive product prioritization and inform business strategy by developing a deep understanding of our users and clients. We work with Product team to build and refine data products, such as personalization to power the site and internal products, such as fraud detection, to improve our business efficiencies. We work with Sales team to score and prioritize leads, with Marketing team to build media models, optimize spend to increase pipeline, with Marketplace to understand elasticity of supply and demand, and work with Finance and Business Operations teams on financial planning and forecasting. If gaining exposure to a wide variety of business functions across a fast-growing company excites you, this is the place to be.

This Role

The Manager, Decision Science will head up a team of 2 – 4 Data Scientists and Analysts working with a number of internal teams – such as - Jobs Advertising, Marketplace, Consumer Product, and Search.

A typical week would comprise of brainstorming with Product Directors on new project ideas, building strategy and criteria for success of the project, sprint planning, KPI measurement, building dashboards for business teams to consume, analyzing the health of our product, developing insights and recommendations based on deep dive analyses.

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.

A sampling of projects – 

  • Define KPIs for all new features and products, work with Data Engineering to ensure data availability, and develop performance monitoring dashboards
  • Help create an automated trafficking system for our employers so they hit their hiring targets at the lowest cost possible.
  • Develop and implement strategy and logic for user email suppression across various newsletters
  • Define and create a self-serve AB Test Reporting system
  • What is the marginal value of each new user on the site based on our ability to sell more advertising budget to our partners?
  • How much influence does an Employer’s Profile on Glassdoor have on the job seeker’s propensity to work for that company?
  • How do we best track the wide variety of site events through a generic logging system?

Requirements 

  • 6+ years of quantitative experience, ideally in an Internet company. Quantitative Degree – like Statistics, Operations Research, Physics, Computer Science, Economics, etc.
  • Leadership: Ability to partner with executives, business stakeholders and product managers to define roadmaps. You see what could be and drive the organization there.
  • People Management: You must have experience hiring, mentoring, and managing a team of data scientists with high retention rates.
  • Strong applied analytics: This means you love data, gleaning insights from data, and making decisions based on data. You need to have demonstrable history of doing this.
  • Outstanding problem solving skills: You’re not just repeating a playbook, you’re looking at every problem with fresh eyes and digging deep for insights and solutions.
  • Exceptional common sense: You know when the model or report output doesn’t make sense and dig in to figure out why.
  • Independence and proactivity: You’ll reach out to stakeholders, understand their needs, and build an analytics roadmap to drive the business forward.
  • Interpersonal and presentation skills:  You are able to confidently communicate and present insights and recommendations to senior management
  • Experience with techniques and tools: Hands-on experience working with large data-sets, modeling, and statistics.  Proficiency at SQL, R or Python.  Extensive A/B & multivariate testing experience. 
  • Work smarter mentality: Be prolific.  A successful candidate would be one that works smarter to accomplish tasks rather than cutting corners.

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; 85% dependent coverage
  • Equity in a late stage startup backed by top-tier VCs
  • Sunny & peaceful Mill Valley offices located right on the water
  • Walking, running and biking trails steps away from the office
  • Onsite gym and fitness classes
  • Free catered lunch; new menu daily
  • Paid holidays and flexible paid time off
  • Your choice between Mac or PC
  • Dog-friendly office (with dog-free zones if you are so inclined)
  • Free parking


Note:  This role can be located in either Mill Valley or San Francisco

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.