Data Scientist, Analytics (Technical Leadership)

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

Job summary

Meta is seeking an experienced Data Scientist, Analytics (Technical Leadership) for an onsite role in Fremont, CA. You will drive measurable impact across product areas by applying complex data analysis to shape product development and success metrics, while providing technical leadership and clear stakeholder communication.

You will lead analytics projects across Engineering, PM/TPM, Analytics and Finance, develop data platforms, and mentor teams to adopt rigorous data-driven decision making.

Qualifications

• Bachelor’s degree or equivalent practical experience in a relevant technical field.
• 5+ years of experience with data querying languages (SQL), scripting languages (Python), and statistical software (R, SAS, Matlab).
• 8+ years leading analytics work in an IC capacity with cross-functional partners to guide data-informed product planning.

Responsibilities

• Use analytical and statistical methods to tackle challenging problems with complex datasets.
• Apply expertise in quantitative analysis, experimentation, and data mining to inform product strategy.
• Define and measure success through goal setting, forecasting, and monitoring key metrics.
• Collaborate with cross-functional partners to inform and execute product strategy and investment decisions.
• Develop a long-term vision and strategy for programs and products.
• Partner with executives to define and develop data platforms and instrumentation.
• Communicate insights and recommendations to stakeholders in an actionable way.
• Set team goals by defining success metrics and forecasting changes.
• Support roadmap development and coordinate analytics efforts across teams.

Skills

SQL

Python

R

SAS

Matlab

Machine learning

Education

Bachelor’s degree in Computer Science / related field

Job description

Meta is seeking an experienced Data Scientist, Analytics (Technical Leadership) to drive measurable impact across product areas. In this onsite role in Fremont, CA, you will use complex data analysis to shape product development, establish and track success, and clearly communicate insights to stakeholders while providing technical leadership.

What you’ll do

• Use analytical and statistical methods to tackle challenging problems with complex data sets
• Apply expertise in quantitative analysis, experimentation, and data mining to inform product strategy
• Define and measure success through goal setting, forecasting, and monitoring key metrics
• Collaborate with cross-functional partners to inform and execute product strategy and investment decisions
• Develop a long-term vision and strategy for programs and products
• Partner with executives to define and develop data platforms and instrumentation
• Communicate insights and recommendations to stakeholders in an effective, actionable way
• Set team goals by defining success metrics and forecasting changes
• Support roadmap development and coordinate analytics efforts across teams

Minimum qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
• 5+ years of experience with data querying languages (for example, SQL), scripting languages (for example, Python), and/or statistical or mathematical software (for example, R, SAS, Matlab)
• 8+ years of experience leading analytics work in an IC capacity, working collaboratively with Engineering and cross-functional partners to guide data-influenced product planning, prioritization, and strategy development
• Experience leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics, and Finance
• Experience with predictive modeling, machine learning, and experimentation or causal inference methods
• Ability to communicate complex technical concepts clearly, precisely, and with actionable detail

Technologies

• SQL, Python, R, SAS, Matlab
• Machine learning

Preferred qualifications

• 10+ years of experience communicating analysis results to leadership teams to influence strategy
• Master’s or Ph.D. degree in a quantitative field
• 10+ years of experience performing complex quantitative analysis in product analytics
• Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (for example, efficiency gains or quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews
• Demonstrated ongoing AI skill development, such as prompt/context engineering and agent orchestration, and staying current with emerging AI technologies

Location: Fremont, CA (onsite)
Compensation: USD 210,000 - 281,000 per year
Experience: 8+ years