Data Scientist

About Lean In & The Sandberg Bernthal Family Foundation

The Sandberg Goldberg Bernthal Family Foundation (SGBFF) works to build a more equal and resilient world. We bring people together to support each other through four initiatives: LeanIn.Org, LeanInGirls.Org, OptionB.Org, and the Dave Goldberg Scholarship Program.

Through our community, research-based content, and programs, we help women and allies build the skills, confidence, and networks they need to reach their full potential. We believe a more equal world is possible - and that it will take us working together to create it. While the majority of your work will focus on Lean In, this role offers the opportunity to drive impact across multiple mission-driven initiatives.

Role Overview

We are looking for a Data Scientist who can transform data into meaningful, actionable insight. Someone who is rigorous in analysis, thoughtful in interpretation, and motivated by impact. In this role, you will help us understand our community experience, measure what works, and guide strategic decisions that shape our products, programs, and reach. Your work will directly influence how we serve millions of women and allies around the world.

What You'll Do

Turn Data into Insight

- Identify trends and patterns in data to uncover opportunities for growth and improvement

- Translate complex findings into clear, practical recommendations that inform decisions

- Design and conduct analyses to understand user engagement, content effectiveness, and program impact

Drive Product and Program Impact

- Partner with product, marketing, and program teams to define meaningful metrics and measure success

- Develop experimentation frameworks and analyze A/B tests to optimize features and experiences

- Build predictive models and recommendation systems that personalize and strengthen user journeys

Build Strong Foundations

- Create dashboards and visualizations that make insights accessible to both technical and non-technical stakeholders

- Build and maintain reliable data pipelines (data engineering experience preferred)


- Design and optimize data infrastructure and warehousing solutions

- Ensure data quality, governance, and consistency across systems

- Work across the full data stack - from raw data ingestion to reporting and storytelling

What You Will Bring

Required

- 3+ years of experience in data science, analytics, or a related field

- Strong proficiency in Python or R, SQL, and data visualization tools

- Experience with statistical analysis, machine learning, and experimental design

- Solid understanding of data engineering principles and data pipelines

- Familiarity with modern data tools (e.g., cloud data warehouses, ETL tools, BI platforms)

- Ability to communicate complex analyses in a clear, compelling wayStrong problem-solving skills and intellectual curiosity

- Excellent collaboration skills and experience working cross-functionally

- Deep commitment to Lean In's mission to inspire and equip women to lead

Preferred

- Understanding or experience with user experience research


- Experience in mission-driven or social impact organizations

- Genuine alignment with the broader initiatives of the Sandberg Bernthal Family Foundation, including building resilience and advancing equality

What We Will Offer You

• Base Salary: $140,000 - $165,000 based on experience, skills, and qualifications
• Performance Bonus: Up to 15% of base salary annually
• Medical, dental, and vision insurance
• 401(k) with a 4% employer match
• Generous paid time off
• Additional benefits designed to support well-being and long-term success
• Work Location: We believe in the power of in-person collaboration. This role is based in San Francisco, with a hybrid schedule of three days in office per week (currently Monday, Tuesday, and Thursday) and remote flexibility on other days, beginning September 2026.
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The Sandberg Goldberg Bernthal Family Foundation is committed to Equal Employment Opportunity without regard to age, race, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. It's important to us that people of all identities and backgrounds see themselves represented and included in our work, so we actively encourage people of all identities and experiences to apply.