Data Scientist, Product

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$147K-$208K From the posting source

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

59% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist, Product New York, NY Meta is seeking a Data Scientist to partner with product teams and drive data-informed decision making across Meta's family of apps and platforms. In this role, you will apply rigorous quantitative and qualitative analysis to understand user behavior, measure product impact, and shape the direction of product strategy. You will design and analyze experiments, build predictive models, and develop scalable data pipelines and dashboards that empower cross-functional teams to act on insights. Your work will directly influence product roadmaps and help Meta build experiences that serve billions of people worldwide. Responsibilities: - Design and evaluate A/B experiments to measure the causal impact of product changes on user behavior and key product metrics - Develop and maintain predictive models and statistical frameworks to generate actionable insights that inform product strategy - Build scalable data pipelines and self-service visualization interfaces that enable cross-functional partners to explore and interpret product performance data - Define success metrics and measurement frameworks that connect product goals to business outcomes - Conduct exploratory and confirmatory analyses on large-scale behavioral datasets to identify opportunities and surface risks - Collaborate with product managers, engineers, and designers to translate analytical findings into prioritized product decisions - Communicate complex analytical results clearly to technical and non-technical stakeholders through written narratives and data presentations - Advise cross-functional partners on analytical design, hypothesis formulation, and interpretation of quantitative and qualitative research - Integrate AI tools into analytical workflows to accelerate insight generation, improve reproducibility, and expand the

Read the full description at www.metacareers.com. FewerJobs shows a preview and links to the original posting.