Data Scientist, Analytics (Technical Leadership)

Meta; United States; 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 join our team and drive impact across product areas. You will partner with cross‑functional teams to identify problems, quantify opportunities, and shape product development using data-driven insights and rigorous analysis.

The role emphasizes leadership in analytics, experimentation, and communicating insights to executives to guide strategy and roadmaps. Strong growth opportunities and exposure to a world‑class analytics community are offered.

Qualifications

• Bachelor's degree in CS/Engineering or equivalent practical experience.
• 5+ years of experience with SQL and scripting languages (Python) or statistical software (R, SAS, Matlab).
• 8+ years leading analytics work in IC capacity with cross-functional partners.
• Experience with predictive modeling, ML, and experimentation/causal inference methods.

Responsibilities

• Work with complex data sets to solve challenging problems using analytical approaches.
• Apply quantitative analysis and data mining to develop product strategies.
• Identify and measure success through goal setting, forecasting, and monitoring key metrics.
• Partner with cross-functional teams to inform product strategy and investments.
• Build long-term vision and strategy for programs and products.

Skills

SQL

Python

R/SAS/Matlab

Leadership/Stakeholder comms

ML/Stat modeling

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

R

SAS

Matlab

Job description

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross‑functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data‑driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data‑driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world‑class analytics community dedicated to skill development and career growth in analytics and beyond.

Data Scientist, Analytics (Technical Leadership) Responsibilities:

• Work with complex data sets to solve challenging problems using analytical and statistical approaches
• Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
• Identify and measure success through goal setting, forecasting, and monitoring key metrics
• Partner with cross‑functional teams to inform and execute product strategy and investment decisions
• Build long‑term vision and strategy for programs and products
• Collaborate with executives to define and develop 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

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
• 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross‑functional partners, and guiding data‑influenced product planning, prioritization and strategy development
• Experience working effectively with and 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/causal inference methods
• Experience communicating complex technical topics in a clear, precise, and actionable manner

Preferred Qualifications:

• 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
• 10+ years of experience doing complex quantitative analysis in product analytics
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Aff… We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E‑Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$210,000/year to $281,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.