Senior Data Scientist, Analytics & Technical Leadership

Meta; Washington (District of Columbia); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta is seeking experienced Data Scientists to join our analytics team and drive impact across product areas. 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 value to users and the company.

You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them, telling data-driven stories and building

Qualifications

• Bachelor's degree in CS, CE, or related field.
• 8+ years leading analytics in IC capacity with cross-functional partners.
• Experience with SQL, Python, R/SAS/Matlab.
• Experience with predictive modeling and experimentation.
• Strong ability to communicate results to leadership.

Responsibilities

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

Skills

SQL

Python

R

SAS

Matlab

Statistics

Data analysis

Education

Bachelor's degree in CS/CE or related field

Master's or Ph.D. in quantitative field

Job description

Meta is seeking experienced Data Scientists to join our analytics team and drive impact across product areas. 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 value to users and the company.

You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them, telling data-driven stories and building