Data Scientist; Technical Leadership
Job in
Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for:
Meta
Full Time
position
Listed on 2026-08-31
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 210000 - 281000 USD Yearly
USD
210000.00
281000.00
YEAR
Job Description & How to Apply Below
Position: Data Scientist (Technical Leadership)
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 a 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.
Required Skills:Data Scientist (Technical Leadership) Responsibilities:
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approachesApply 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 businessesIdentify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trendsUnderstand and identify opportunities to more responsibly leverage cutting edge technologyDefine, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendationsPartner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisionsNavigate ambiguity and complexity by forming clear hypotheses, making data-driven decisions, and proactively identifying areas for deeper investigationMinimum Qualifications:Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience8+ 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 developmentExperience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and FinanceExperience framing and communication skillsPreferred Qualifications:Preferred Qualifications:
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Masters or Ph.D. Degree in a quantitative fieldDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience with predictive modeling, machine learning, and experimentation/causal inference methodsExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Public Compensation:
$210,000/year to $281,000/year + bonus + equity + benefits
Industry:
Internet
Equal Opportunity:
Meta…
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