Senior Data Scientist, Analytics – Equity & Product Strategy

Meta; Columbia (SC); On-site; USD 210,000 - 281,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking experienced Data Scientists to drive impact across product areas. You will identify opportunities, shape development, and quantify value using data-driven insights.

You will guide teams, develop hypotheses, and communicate insights to stakeholders while growing an analytics community. You will collaborate with executives to define data platforms and instrumentation and partner with cross-functional teams to inform product strategy and investment decisions.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent
• 5+ years of experience with SQL, Python, R/SAS/Matlab
• 8+ years of analytics leadership and cross‑functional collaboration
• Experience leading complex analytics projects across multiple stakeholders
• Experience with predictive modeling and experimentation methods
• Strong ability to communicate complex topics clearly

Responsibilities

• Work with complex data sets to solve problems
• Apply quantitative analysis to develop product strategies
• Identify and measure success with metrics
• Partner with cross‑functional teams to inform strategy
• Build long‑term vision for programs and products
• Collaborate with executives on data platforms
• Communicate insights to stakeholders
• Define success metrics and forecasting
• Coordinate analytics roadmaps across teams

Skills

SQL

Python

R

SAS

Matlab

Analytics leadership

Cross-functional collaboration

Statistical methods

Education

Bachelor's degree

Master's degree

PhD

Job description

Meta is seeking experienced Data Scientists to drive impact across product areas. You will identify opportunities, shape development, and quantify value using data-driven insights.

You will guide teams, develop hypotheses, and communicate insights to stakeholders while growing an analytics community. You will collaborate with executives to define data platforms and instrumentation and partner with cross-functional teams to inform product strategy and investment decisions.