Senior Analytics Data Scientist — Product Strategy & Impact

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

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Meta is seeking experienced Data Scientists to join our team and drive impact across product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis, shaping product development and quantifying opportunities to deliver real user value.

You will partner with executives to define data platforms and instrumentation, tell data-driven stories, and guide analytics programs with a strong background in predictive

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 5+ years with SQL, Python, or R/SAS/Matlab for data querying and analysis.
• 8+ years leading analytics work and influencing product strategy with cross-functional teams.
• Experience with predictive modeling, ML, and experimentation.
• Excellent ability to communicate complex topics clearly to stakeholders.

Responsibilities

• Work with complex data sets to solve challenging problems using analytical approaches.
• Apply quantitative analysis to develop product strategies and measure success.
• Partner with cross-functional teams to inform product decisions and investment priorities.
• Build long-term vision and strategy for analytics programs and data platforms.
• Communicate insights and recommendations effectively to executives and teams.

Skills

SQL

Python

R

Mathematics

Statistics

Operations Research

Analytics leadership

Communication

Experimentation

Education

Bachelor's degree in CS/Engineering/Math/Statistics or equivalent

Masters/PhD in quantitative field (preferred)

Tools

SAS

Matlab

Job description

Meta is seeking experienced Data Scientists to join our team and drive impact across product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis, shaping product development and quantifying opportunities to deliver real user value.

You will partner with executives to define data platforms and instrumentation, tell data-driven stories, and guide analytics programs with a strong background in predictive