Data Scientist (Technical Leadership)

Meta; New York (NY); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta is hiring an experienced Data Scientist (Technical Leadership) to tackle diverse analytics challenges across Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, WhatsApp, and more. You will partner with Product, Engineering, and Finance to influence strategy, drive measurements, run experiments, and shape product roadmaps at scale.

You will mentor teams, apply rigorous analytics, and communicate insights that move business and product decisions.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 8+ years of experience in data science or analytics, leading analytics work in an IC capacity, working collaboratively with Engineering and cross‑functional partners, and guiding data‑influenced product planning, prioritization and strategy development.
• Experience working effectively with multiple stakeholders and cross‑functional teams, including Engineering, PM/TPM, Analytics and Finance.
• Experience framing and communication skills.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Understand and identify opportunities to more responsibly leverage cutting edge technology.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross‑functional teams to inform, influence, support, and execute product strategy and investment decisions.
• Navigate ambiguity and complexity by forming clear hypotheses, making data‑driven decisions, and proactively identifying areas for deeper investigation.

Skills

Framing & communication

Cross-functional collaboration

Stakeholder management

Data storytelling

Education

Bachelor's degree in Computer Science/Engineering or equivalent

Master's or PhD in a quantitative field

Job description

Summary

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, WhatsApp, and others! As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide range of cross‑functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of an analytics community dedicated to skill development and career growth in analytics and beyond. Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won’t simply present data, but tell data‑driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Data Scientist (Technical Leadership) Responsibilities

1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
4. Understand and identify opportunities to more responsibly leverage cutting edge technology
5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
6. Partner with Product, Engineering, and cross‑functional teams to inform, influence, support, and execute product strategy and investment decisions
7. Navigate ambiguity and complexity by forming clear hypotheses, making data‑driven decisions, and proactively identifying areas for deeper investigation

Minimum Qualifications

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2. 8+ years of experience in data science or analytics, leading analytics work in an IC capacity, working collaboratively with Engineering and cross‑functional partners, and guiding data‑influenced product planning, prioritization and strategy development
3. Experience working effectively with multiple stakeholders and cross‑functional teams, including Engineering, PM/TPM, Analytics and Finance
4. Experience framing and communication skills

Preferred Qualifications

1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
2. Masters or Ph.D. Degree in a quantitative field
3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
4. Experience with predictive modeling, machine learning, and experimentation/causal inference methods
5. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Public Compensation

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

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and affirmative action employer. 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].