Data Scientist

Meta · Big Tech · Menlo Park, CA +1 · Remote

Data Scientist role focused on large-scale data analysis, statistical modeling, and defining/tracking key business metrics. The role involves translating data into actionable insights, influencing business direction, and working with cross-functional teams including legal and policy to manage risk and meet regulatory obligations. It also includes building forecasting models and improving data infrastructure.

What you'd actually do

Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, and time series analyses.
Define key business metrics, implement dashboards to track goals and KPIs, and translate outputs into actionable insights.
Identify testable hypotheses and provide evidence-based recommendations to cross-functional product groups and influence the direction of the business by communicating results effectively to senior leadership.
Work closely with legal, policy, engineering, and operations teams to understand the evolving regulatory environment, and work across a large organization to drive changes needed to meet external informational needs.
Continuously improve on tools, techniques, and data infrastructure to help scale the company’s ability to manage risk and deliver on key regulatory obligations.
Prioritize strategic opportunities through gap and impact analyses and build forecasting models to guide teams to focus on the most valuable projects.

Skills

Required

Bachelor's degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field
2 years of experience in the job offered or in a computer-related occupation
statistical modeling
data analysis
segmentation
classification
optimization
time series analysis
dashboard implementation
hypothesis testing
forecasting models

Nice to have

experience working with legal, policy, engineering, and operations teams
experience managing risk and regulatory obligations

What the JD emphasized

regulatory environment
regulatory obligations

Read full job description

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Responsibilities

Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, and time series analyses. Define key business metrics, implement dashboards to track goals and KPIs, and translate outputs into actionable insights. Identify testable hypotheses and provide evidence-based recommendations to cross-functional product groups and influence the direction of the business by communicating results effectively to senior leadership. Work closely with legal, policy, engineering, and operations teams to understand the evolving regulatory environment, and work across a large organization to drive changes needed to meet external informational needs. Continuously improve on tools, techniques, and data infrastructure to help scale the company’s ability to manage risk and deliver on key regulatory obligations. Prioritize strategic opportunities through gap and impact analyses and build forecasting models to guide teams to focus on the most valuable projects. Telecommuting from anywhere in the U.S. is allowed.

Qualifications

Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and 2 years of experience in the job offered or in a computer-related occupation Experience must include 2 years of experience in the following: