Data Science Director Jobs in New York, NY

Data Science Director jobs in New York are in strong demand, concentrated in Midtown Manhattan, the Flatiron District, and Hudson Yards across finance, media, healthcare, and tech. Employers actively hiring include Capital One, Citi, and Amazon. See the openings below and apply to the ones that match your experience.

Find Data Science Director Jobs

Overview

Open roles65

Top employerCapital One

Work type68% Hybrid

Top credentialBachelor's degree in statistics

Companies hiring37

Showing 5 of 65+ Data Science Director jobs

Director, Data Science - New Revenue Bets

We won't show you this job again

New 18h ago

Director, Data Science - New Revenue Bets Responsibilities:

Provide senior analytical leadership across New Revenue Bets workstreams - Subscriptions, BizAI, and XF APAC - where it's most needed at any given moment
Work directly with VPs and senior cross-functional leaders across the company
synthesize complex analysis into actionable insights for executive audiences and shape investment decisions at the highest levels
Define measurement frameworks and success metrics for nascent revenue products where playbooks don't yet exist
make ambiguity tractable for emerging business models
Drive analytical insights on subscriber growth, retention, LTV modeling, pricing/packaging strategy, and product-market fit for Meta's subscription offerings
Partner on the data strategy for AI-powered business tools - measurement of AI agent effectiveness, ROI frameworks for business customers, and opportunity sizing for new capabilities
Lead cross-functional analytics supporting APAC market expansion - localization insights, regional product-market dynamics, and go-to-market measurement
Serve as a unifying analytical voice across multiple teams and workstreams
identify shared challenges, propagate learnings, and ensure teams are building on each other's work
Establish best practices in measurement, experimentation, and causal inference for early-stage revenue products
propagate learnings across the org and beyond
Elevate the craft and impact of other ICs and managers through coaching, collaboration, and exemplar work
Redesign analytical workflows to leverage AI/ML tools and agents at scale
model how ICs should integrate AI as a force multiplier

Minimum Qualifications:

12+ years of experience in data science, analytics, or a quantitative field
Demonstrated company-wide influence, cross-org strategy, and sustained execution on high-complexity problems
Proven ability to context-switch across disparate problem domains (growth, monetization, international expansion, AI products) while maintaining high-quality output
Track record of setting direction on company-critical problems and influencing cross-org strategy
Experience thriving in multi-team, multi-stakeholder environments with the ability to build trust quickly and drive outcomes through influence
Comfort operating in early-stage, high-ambiguity environments where metrics, frameworks, and questions haven't been defined yet
Ability to synthesize complex analysis into clear narratives for VP+ and cross-functional leadership

Preferred Qualifications:

Familiarity with Meta's data infrastructure (large-scale data querying tools (e.g., Hive, Presto, Spark), experimentation platforms, and ML infrastructure)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience in subscription/recurring-revenue businesses (LTV modeling, retention analytics, pricing strategy)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Background in AI product measurement or AI agent evaluation frameworks
International/APAC market analytics experience - understanding regional dynamics, localization challenges, and cross-market comparisons
Prior experience operating as a principal-level IC embedded in a leadership team across multiple concurrent bets

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 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 accommodations-ext@meta.com.

$253,000/year to $314,000/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.

Director, Data Science - New Revenue Bets Responsibilities:

Provide senior analytical leadership across New Revenue Bets workstreams - Subscriptions, BizAI, and XF APAC - where it's most needed at any given moment
Work directly with VPs and senior cross-functional leaders across the company
synthesize complex analysis into actionable insights for executive audiences and shape investment decisions at the highest levels
Define measurement frameworks and success metrics for nascent revenue products where playbooks don't yet exist
make ambiguity tractable for emerging business models
Drive analytical insights on subscriber growth, retention, LTV modeling, pricing/packaging strategy, and product-market fit for Meta's subscription offerings
Partner on the data strategy for AI-powered business tools - measurement of AI agent effectiveness, ROI frameworks for business customers, and opportunity sizing for new capabilities
Lead cross-functional analytics supporting APAC market expansion - localization insights, regional product-market dynamics, and go-to-market measurement
Serve as a unifying analytical voice across multiple teams and workstreams
identify shared challenges, propagate learnings, and ensure teams are building on each other's work
Establish best practices in measurement, experimentation, and causal inference for early-stage revenue products
propagate learnings across the org and beyond
Elevate the craft and impact of other ICs and managers through coaching, collaboration, and exemplar work
Redesign analytical workflows to leverage AI/ML tools and agents at scale
model how ICs should integrate AI as a force multiplier

Minimum Qualifications:

12+ years of experience in data science, analytics, or a quantitative field
Demonstrated company-wide influence, cross-org strategy, and sustained execution on high-complexity problems
Proven ability to context-switch across disparate problem domains (growth, monetization, international expansion, AI products) while maintaining high-quality output
Track record of setting direction on company-critical problems and influencing cross-org strategy
Experience thriving in multi-team, multi-stakeholder environments with the ability to build trust quickly and drive outcomes through influence
Comfort operating in early-stage, high-ambiguity environments where metrics, frameworks, and questions haven't been defined yet
Ability to synthesize complex analysis into clear narratives for VP+ and cross-functional leadership

Preferred Qualifications:

Familiarity with Meta's data infrastructure (large-scale data querying tools (e.g., Hive, Presto, Spark), experimentation platforms, and ML infrastructure)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience in subscription/recurring-revenue businesses (LTV modeling, retention analytics, pricing strategy)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Background in AI product measurement or AI agent evaluation frameworks
International/APAC market analytics experience - understanding regional dynamics, localization challenges, and cross-market comparisons
Prior experience operating as a principal-level IC embedded in a leadership team across multiple concurrent bets

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 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 accommodations-ext@meta.com.

$253,000/year to $314,000/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.

See All 65 Data Science Director Jobs in New York

Find roles in New York that match your experience and apply in just a few clicks.

Find Data Science Director Jobs

Data Science Director Job Market in New York

Who's Hiring

Capital One7 open roles

Citi5 open roles

Amazon5 open roles

Top Industries Hiring

Technology & Software
Fintech
Media & Entertainment
Banking & Financial Services
Retail

Other New York Cities Hiring Data Science Directors

Other cities in New York with the most openings

See all Data Science Director jobs across New York

Utica

1 job

Queens

1 job

Brooklyn

1 job

Edgewood

1 job

New City

1 job

Niskayuna

1 job

Rensselaer

1 job

Schenectady

1 job

Data Science Director Jobs in New York: Frequently Asked Questions

How do I get a data science director job in New York?

Focus your search on New York's densest hiring clusters: financial services firms in Midtown, media and advertising companies in the Flatiron District, and health systems anchored in Kips Bay and the Upper East Side. Candidates who combine deep ML or statistical modeling expertise with demonstrated P&L or team leadership stand out here. Networking through New York-based data science meetups and alumni networks at local universities also opens doors that cold applications rarely do.

Which companies hire data science directors in New York?

New York data science director roles are posted by Capital One, Citi, and Amazon and others right now, based on current listings on Migrate Mate as of October 2026. New York's employer mix is unusually broad, drawing from global banks, insurance carriers, digital media giants, retail conglomerates, and fast-growing fintech and healthtech startups all competing for the same senior talent.

Are there remote data science director jobs in New York?

Yes, though director-level roles often require meaningful on-site presence for stakeholder alignment and team leadership. About 84% of data science director openings tied to New York are remote or hybrid as of October 2026, with the remote share skewing toward companies headquartered outside the city that still list New York as a preferred location. Strategic and advisory responsibilities tend to be the most location-flexible parts of the role.

How can I get a data science director job in New York with little or no experience?

The most realistic path is building toward director-level work through senior or lead data scientist roles at mid-size New York firms, where scope expands faster than at large institutions. Startups in the Flatiron and Chelsea tech corridors and growth-stage fintechs frequently promote analytical talent into leadership earlier than Wall Street firms do. Building a portfolio of cross-functional projects, presenting at local data conferences, and contributing to open-source work visible to New York hiring managers all accelerate the transition.

Which industries hire the most data science directors in New York?

New York data science director roles concentrate in Technology & Software, Fintech, and Media & Entertainment, based on current listings on Migrate Mate as of October 2026. New York's position as the global center of finance, a major media hub, and a rapidly growing life sciences corridor means demand for senior data leadership cuts across sectors in ways you won't find in most other cities.

Related Jobs in New York

Retention Specialist JobsNew York

ERP Analyst JobsNew York

Senior Forward Deployed Engineer JobsNew York

Engineering Director JobsNew York

Senior Web Engineer JobsNew York

Senior Product Development Manager JobsNew York

VP Of Sales JobsNew York

Chief Executive Officer JobsNew York

Director Of Data Governance JobsNew York

See All 65 Data Science Director Jobs in New York

Find roles in New York that match your experience and apply in just a few clicks.

Find Data Science Director Jobs