Data Scientist/Data Engineer - Economic Research

Why Glassdoor?

Our mission is to help people everywhere find a job and company they love. In the process, we’re transforming the workplace experience through the power of transparency and further cementing ourselves as the worldwide leader in employer branding and insights. By choosing a career at Glassdoor, you’ll be directly contributing toward our vision  for a world where transparency empowers the workforce and motivates companies to become better employers.

Please note: This role may be open to remote hiring. Our office locations are in San Francisco, CA; Chicago, IL; London, UK; and Dublin, Ireland.

 

About the Role

As a member of the Glassdoor Economic Research team, you will develop and own key public-facing data products, act as the go-to expert on Glassdoor data for our Economic Research team, and conduct original research in close collaboration with Glassdoor’s Chief Economist and Lead Economist. This role will work deep in Glassdoor’s proprietary data to share scalable insights on workplace communities, employee satisfaction, and the jobs market.

What You'll Do

Your day-to-day responsibilities will include analysis, development, and research using proprietary data to support Glassdoor Economic Research initiatives. Responsibilities and examples of projects may include:

• Developing and maintaining a new public-facing data product using Glassdoor data to highlight a topical labor market or workplace trend. Building models in Python or R to support these data products.
• Managing the data collection process for Glassdoor’s annual Best Places to Work award.
• Proposing and making improvements to the methodology and infrastructure for Glassdoor’s data-driven awards.
• Building dashboards, data sources, and tools that make data more accessible to support readers and/or internal teams.
• Writing SQL queries to answer ad hoc media questions about Glassdoor’s salaries or ratings data from top-tier media publications.
• Working with product and engineering partners to understand what data is available, its definitions and limitations, and how to access it.

The role will primarily focus on developing, maintaining, visualizing and owning internal- & public-facing data products (approximately 70% of time) and 30% independent or collaborative research or support for data requests from internal stakeholders.

What You'll Bring

• A commitment to add to our culture of DEI.
• 2-5 years of experience in a related field like data science, data engineering, decision science, or economics.
• Excellent data fluency, including expertise with SQL. 
• Experience building ETL pipelines and/or deploying production-ready data products.
• Strong experience with programming and data analysis using Python (preferred) and/or R. Writes clear, documented, and reproducible code.
• Ability to work cross-functionally with product, engineering, and communications partners.
• Nice to have: Demonstrated experience with statistics and applied econometrics.
• Nice to have: Knowledge of data visualization tools like ggplot2, Tableau, R Shiny, or D3.js.

Compensation and Benefits 

Base Salary Range: $120,500 - $150,600

You can learn more about our compensation philosophy here and see salary ranges for all Glassdoor jobs here.

*Glassdoor base salaries are targeted to the market 75th percentile for technical roles and the 65th percentile for non-technical roles. In other words, 65-75% of comparable organizations in our industry will pay less.

Annual Bonus Target: 10%

**Bonuses are paid in 6-month intervals, aligning with bi-annual performance reviews

Generous Restricted Stock Units (RSU): 

***Restricted Stock Units (RSU) are awarded at hire and may be refreshed annually. Additionally, as a pay-for-performance company, RSU grant awards are presented bi-annually to exceptional performers.

Health and Wellness: 100% employer-paid premiums for employee medical, dental, vision, life, short and long-term disability, select well-being programs, and 80% employer-paid premiums for all dependents.* Generous paid time off programs for birthing and non-birthing parents are provided, along with paid injury/illness leave and paid fam