Senior Data Scientist, Analytics & Strategy

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

Job summary

Meta in Mountain View, CA seeks an experienced Data Scientist (Analytics, Technical Leadership) to drive product impact. You will collaborate with cross-functional partners to solve complex problems using data, shaping product development and opportunities with rigorous analytics and storytelling.

You will guide teams, define success metrics, and build data platforms while communicating insights to executives and stakeholders for measurable impact.

Qualifications

• Bachelor’s degree in a technical field or equivalent experience.
• 5+ years of SQL, scripting (Python) or stats software experience.
• 8+ years leading analytics with cross-functional partners.
• Experience with predictive modeling and experimentation methods.
• Clear communication of complex analyses to stakeholders.
• Ability to influence product strategy with data-driven insights.

Responsibilities

• Work with complex data sets to solve problems using analytical methods.
• Apply quantitative analysis and experimentation to guide product strategies.
• Identify and measure success with forecasted metrics and goals.
• Partner with cross-functional teams to inform product strategy and investments.
• Build long-term vision for analytics programs and products.
• Collaborate with executives to define data platforms and instrumentation.
• Communicate insights and recommendations to stakeholders clearly.
• Define success metrics and monitor changes over time.
• Support roadmaps and coordinate analytics efforts across teams.

Skills

SQL

Python

R

SAS

Matlab

leadership experience

data analysis

statistics

Education

Bachelor's degree in CS/Engineering/Math

Job description

Meta in Mountain View, CA seeks an experienced Data Scientist (Analytics, Technical Leadership) to drive product impact. You will collaborate with cross-functional partners to solve complex problems using data, shaping product development and opportunities with rigorous analytics and storytelling.

You will guide teams, define success metrics, and build data platforms while communicating insights to executives and stakeholders for measurable impact.