Growth Research Scientist: Causal & Quantitative Insights

Meta; Menlo Park (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Meta seeks a Research Scientist for the Quantitative Growth Research team to apply rigorous quantitative methods to understand user behavior, product adoption, and growth dynamics across Meta's apps and services.

You will design and execute large-scale studies, develop causal inference frameworks, and translate complex behavioral data into actionable insights that shape product strategy and drive sustainable growth.

Qualifications

• PhD in a quantitative field such as economics, statistics, psychology, computational social science, or a related discipline.
• Experience conducting quantitative research using methods such as experimentation, causal inference, survey research, or large-scale behavioral data analysis.
• Experience applying statistical modeling techniques (e.g., regression, survival analysis, Bayesian methods, causal inference) to real-world product or growth research questions.
• Experience translating quantitative research findings into product or business recommendations for cross-functional stakeholders.
• Experience working with large-scale datasets using programming languages such as Python, R, or SQL.
• Experience scoping and delivering independent research projects from problem definition through insight communication.

Responsibilities

• Design and execute quantitative research studies to understand user acquisition, retention, and engagement across Meta's products.
• Develop and apply causal inference methods to evaluate the impact of product changes on growth outcomes.
• Build and validate measurement frameworks linking user behavior signals to long-term growth metrics.
• Collaborate with product managers, engineers, and data scientists to translate research findings into strategy and roadmap decisions.
• Identify gaps in measurement approaches and design novel methodologies for growth research challenges.
• Communicate complex quantitative findings to technical and non-technical stakeholders through reports and visualizations.
• Contribute to team goals by scoping high-priority questions with clear deliverables.
• Leverage AI-integrated workflows to accelerate research design and data processing.
• Advise cross-functional partners on research methods and limitations in growth decisions.

Skills

Causal inference

Experimental design

Statistical modeling

Data analysis

Cross-functional collaboration

Communication

Education

PhD in economics, statistics, psychology, computational social science, or related field

Tools

Python

R

SQL

Job description

Meta seeks a Research Scientist for the Quantitative Growth Research team to apply rigorous quantitative methods to understand user behavior, product adoption, and growth dynamics across Meta's apps and services.

You will design and execute large-scale studies, develop causal inference frameworks, and translate complex behavioral data into actionable insights that shape product strategy and drive sustainable growth.