Senior Data Scientist, Analytics & Product Impact

Meta; Sunnyvale (CA); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta is seeking experienced Data Scientists to drive impact across product areas. You'll collaborate with cross-functional partners to identify and solve complex problems using data and analysis, shaping product development and quantifying opportunities.

You will guide teams with data-driven insights, develop hypotheses, and test them with rigorous analytical approaches, telling data-driven stories to stakeholders and building credibility across the analytics community.

Qualifications

• Bachelor's degree in a technical field required.
• 5+ years with SQL, Python, or R/SAS for data querying and analysis.
• 8+ years leading analytics work in cross-functional settings.
• Experience with predictive modeling, ML, and experimentation/causal inference.
• Strong data storytelling and communication to executives.

Responsibilities

• Work with complex data sets to solve problems using analytical approaches.
• Apply quantitative analysis to develop product strategies.
• Identify and measure success through metrics forecasting and tracking.
• Partner with cross-functional teams to inform product strategy and investments.
• Build long-term vision and strategy for programs and products.
• Collaborate with executives to define data platforms and instrumentation.
• Communicate insights and recommendations clearly to stakeholders.
• Define success metrics, forecast changes, and set team goals.
• Support roadmaps and analytics coordination across teams.

Skills

Analytical leadership

Stakeholder management

Predictive modeling

Machine learning

Experimentation

Causal inference

Technical communication

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Operations Research

Master's or PhD in quantitative field

Bachelor's in analytical or scientific field

Tools

SQL

Python

R

SAS

MATLAB

Job description

Meta is seeking experienced Data Scientists to drive impact across product areas. You'll collaborate with cross-functional partners to identify and solve complex problems using data and analysis, shaping product development and quantifying opportunities.

You will guide teams with data-driven insights, develop hypotheses, and test them with rigorous analytical approaches, telling data-driven stories to stakeholders and building credibility across the analytics community.