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Opportunity at
MetaData Scientist, Analytics (Technical Leadership)
Meta is seeking a talented Data Scientist with a strong focus on technical leadership to join our analytics organization. You will play a pivotal role in…
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About this role
Data Scientist, Analytics (Technical Leadership) at Meta is a full-time role. Work arrangement: Not specified. Location: United States. No salary is shown in this listing. It was posted on Sep 30, 2026. This listing is paused and not taking applications at the moment.
Job Description
Meta is seeking a talented Data Scientist with a strong focus on technical leadership to join our analytics organization. You will play a pivotal role in shaping product roadmaps, uncovering growth opportunities, and guiding data-informed decision-making at scale.
About the Role
As part of our world-class analytics community, you will work hand-in-hand with engineering, product management, and executive leadership to solve challenging problems. Your expertise will directly influence how we build products that bring meaningful value to millions of users worldwide.
Key Responsibilities
- Analyze complex datasets using advanced statistical and quantitative methods to solve intricate problems.
- Design and execute experiments, data mining initiatives, and product strategies.
- Establish core metrics, conduct forecasting, and monitor performance to evaluate success.
- Partner closely with product, engineering, and leadership teams to inform investment decisions and product roadmaps.
- Shape the long-term vision and technical strategy for major programs and platforms.
- Translate complex analytical findings into clear, actionable recommendations for stakeholders and executives.
- Integrate modern artificial intelligence tools to optimize workflows and drive measurable efficiency gains.
- Promote responsible AI development by implementing ethical practices, bias mitigation, and rigorous accuracy reviews.
Requirements
- Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field (Master's or Ph.D. preferred).
- Extensive experience working with data querying languages like SQL and scripting languages such as Python.
- Deep expertise in statistical software including R, SAS, or Matlab.
- Demonstrated history of leading complex analytics projects in an individual contributor capacity alongside engineering partners.
- Proven background in predictive modeling, machine learning, and causal inference techniques.
- Familiarity with prompt engineering, agent orchestration, and emerging AI technologies.
Frequently Asked Questions
Q: What level of experience is required for this Data Scientist position at Meta?
A: This role typically requires extensive professional experience in product analytics and quantitative research, often spanning eight to ten years or more of advanced technical leadership.
Q: Are advanced degrees preferred for this position?
A: Yes, while a Bachelor's degree in a quantitative field is a baseline requirement, holding a Master's or Ph.D. in a relevant discipline is strongly preferred.
Q: How does artificial intelligence factor into this role?
A: Candidates are expected to demonstrate ongoing AI skill development, integrate AI tools to optimize analytical workflows, and adhere to responsible, ethical AI practices.
Responsibilities
- <ul><li>Analyze complex datasets using advanced statistical and quantitative methods to solve intricate problems.</li><li>Design and execute experiments, data mining initiatives, and product strategies.</li><li>Establish core metrics, conduct forecasting, and monitor performance to evaluate success.</li><li>Partner closely with product, engineering, and leadership teams to inform investment decisions and product roadmaps.</li><li>Shape the long-term vision and technical strategy for major programs and platforms.</li><li>Translate complex analytical findings into clear, actionable recommendations for stakeholders and executives.</li><li>Integrate modern artificial intelligence tools to optimize workflows and drive measurable efficiency gains.</li><li>Promote responsible AI development by implementing ethical practices, bias mitigation, and rigorous accuracy reviews.</li></ul>
Requirements
- <ul><li>Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field (Master's or Ph.D. preferred).</li><li>Extensive experience working with data querying languages like SQL and scripting languages such as Python.</li><li>Deep expertise in statistical software including R, SAS, or Matlab.</li><li>Demonstrated history of leading complex analytics projects in an individual contributor capacity alongside engineering partners.</li><li>Proven background in predictive modeling, machine learning, and causal inference techniques.</li><li>Familiarity with prompt engineering, agent orchestration, and emerging AI technologies.</li></ul>
Qualifications
- <p>Candidates must possess a Bachelor's degree in a quantitative or technical discipline, with advanced degrees preferred. This position requires substantial professional experience in product analytics, quantitative analysis, and technical leadership.</p>
Core Skills
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