Senior Analytics Data Scientist — Strategy & Impact

Meta; Bellevue (WA); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta seeks an experienced Data Scientist to partner with cross-functional teams, applying rigorous analytics to guide product strategy and measure impact. You will lead data-driven projects, develop hypotheses, and communicate insights to stakeholders while growing the analytics community within Meta.

The ideal candidate has extensive experience with SQL, Python, and advanced analytics, and can translate complex analyses into actionable business decisions.

Qualifications

• Bachelor's degree in CS/Engineering or equivalent practical experience.
• 5+ years data querying with SQL and scripting with Python or R.
• 8+ years analytics leadership guiding data-informed product strategy.

Responsibilities

• Work with complex data sets to solve challenging problems using analytical approaches.
• Apply quantitative analysis, experimentation, and data mining to develop product strategies.
• Identify and measure success through goals, forecasting, and metrics.
• Partner with cross-functional teams to inform product strategy and investment decisions.
• Build long-term vision and strategy for programs and products.
• Collaborate with executives to define data platforms and instrumentation.
• Communicate insights and recommendations to stakeholders.
• Forecast changes and set team goals; support roadmaps across teams.

Skills

SQL

Python

R

SAS

Matlab

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Master's or Ph.D. Degree in a quantitative field

Tools

SAS

Matlab

Python

Job description

Meta seeks an experienced Data Scientist to partner with cross-functional teams, applying rigorous analytics to guide product strategy and measure impact. You will lead data-driven projects, develop hypotheses, and communicate insights to stakeholders while growing the analytics community within Meta.

The ideal candidate has extensive experience with SQL, Python, and advanced analytics, and can translate complex analyses into actionable business decisions.