Senior Data Scientist, Analytics - Technical Leadership

Meta; Mountain View (CA); 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 collaborate with cross-functional partners to identify problems, quantify opportunities, and shape product development using data-driven analyses.

You will guide teams with hypotheses, develop analytical approaches, and communicate insights to leadership, contributing to a world-class analytics community and career growth at Meta.

Qualifications

• Bachelor's degree in CS/CS Eng or related technical field.
• 5+ years of experience with SQL, Python, or R/SAS/Matlab.
• 8+ years leading analytics projects in cross-functional teams.
• Experience with predictive modeling, machine learning, and experimentation methods.
• Ability to communicate complex topics clearly to stakeholders.

Responsibilities

• Work with complex data sets to solve problems using analytical approaches.
• Apply quantitative analysis to develop product strategies.
• Identify and measure success through goals, forecasting, and metrics.
• 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.
• Effectively communicate insights and recommendations to stakeholders.
• Define success metrics, forecast changes, and set team goals.
• Support developing roadmaps and coordinate analytics efforts across teams.

Skills

Analytics leadership

Cross-functional collaboration

Statistical analysis

Experimentation

Communication with stakeholders

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

SQL

Python

R

SAS

Matlab

Job description

Meta is seeking experienced Data Scientists to drive impact across product areas. You will collaborate with cross-functional partners to identify problems, quantify opportunities, and shape product development using data-driven analyses.

You will guide teams with hypotheses, develop analytical approaches, and communicate insights to leadership, contributing to a world-class analytics community and career growth at Meta.