Sr. Data Scientist, Decision Science - Marketing

Why Glassdoor?

When you work for Glassdoor, you help people everywhere get ahead in work and life. That’s because we’re moving fast to become the leading community for workplace conversations. Every day, we foster radical transparency by giving professionals a platform to connect authentically and anonymously. Think real talk with real people — plus company reviews and ratings, salary info, job listings and more. 

Join us as we make worklife better, together.

About the Role

The Decision Science team at Glassdoor is pivotal in driving strategy and decision-making across the company through predictive analytics, testing, and optimization. We tackle a broad spectrum of challenges by proactively identifying opportunities, prioritizing product and marketing initiatives, and shaping business strategy. This unique role involves close collaboration with various Marketing teams to explore opportunities to improve outcomes and insights for our marketing campaigns. As a Senior Data Scientist, you will develop new partnerships, provide insights and recommendations to improve our user targeting, support efforts to expand and improve our performance reporting, and lead the exploration and implementation of new models to drive business growth.

What You’ll Do

• Collaborate with various Marketing teams to analyze what drives success for our marketing campaigns and provide data-driven insights and recommendations
• Support and optimize recurring reporting processes for marketing metrics and explore opportunities for delivering deeper insights on marketing campaigns
• Lead the exploration and implementation of models that enable precise customer targeting and optimization of marketing spend
• Develop attribution frameworks to quantify the impact of various touch points across marketing, web, and app experiences
• Communicate findings and recommendations clearly and effectively to stakeholders, ensuring organized and strategic alignment with broader company goals.

What You’ll Bring

• A commitment to add to our culture of DEI
• 5+ years of data science/decision science/analytics experience, ideally with at least 2 years experience supporting Marketing teams or functions 
• Proficiency in SQL, Python or R required
• Experience working with large data sets, modeling, statistics (descriptive and inferential), and A/B & multivariate testing
• Demonstrated success with developing, refining, and maintaining customer lifetime value models
• Excellent communication skills to effectively convey findings and recommendations to stakeholders, and ability to simplify models and insights to non-technical audiences
• Strong self-motivation and a proactive approach, with the ability to ask pertinent questions and follow up with stakeholders to obtain necessary information
• Highly organized thought process and a structured framework for problem-solving, ensuring alignment of projects with company strategies

Compensation and Benefits:

Base Salary Range*: $116,300 - $154,400

*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, there are additional RSU grant awards for the very top performers.

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

Health and Wellness: 100% employer-paid premiums for employee medical, dental, vision, life, short and long-term disability, select well-being programs, along with 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 family emergency leave.

*Coverage begins at the start of employment. After 48 months of continuous employment, 100% of all premiums for you and you