Data Science Director Jobs in New York

Data Science Director jobs in New York are among the most actively recruited senior technology leadership positions in the country, concentrated in financial services, media, healthcare, and enterprise software across Manhattan, Brooklyn, and the greater New York City metro. Major employers with deep roots in New York hiring at this level include JPMorgan Chase, IBM, and Memorial Sloan Kettering Cancer Center. The most in-demand specialties are machine learning platform leadership, NLP and generative AI strategy, and data governance at scale. Find a role that fits below and apply directly.

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Overview

Open roles65

Top employerCapital One

Top cityNew York, NY

Cities hiring9

Work type64% Hybrid

Top industryTechnology

Showing 4 of 65+ Data Science Director jobs

Director, Data Science - New Revenue Bets

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Added 1d 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.

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Data Science Director Jobs by City in New York

Where New York roles are concentrated, by current openings.

New York

56 jobs

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 Job Market in New York

A snapshot from current New York openings, updated as new roles post.

Who's Hiring

Capital One6 open roles

Citi4 open roles

Amazon4 open roles

Top Industries Hiring

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

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What New York Employers Look For

The qualifications that appear most often in data science director jobs across New York.

Advanced degree in data science, statistics, computer science, or a quantitative field
Seven or more years of experience in data science with at least three in people management
Proven ability to lead and grow cross-functional data science teams in complex organizations
Deep expertise in machine learning, statistical modeling, and large-scale data infrastructure
Experience communicating data strategy and outcomes to executive and board-level stakeholders
Proficiency with cloud platforms such as AWS, Google Cloud, or Azure in production environments

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Data Science Director Jobs in New York: Frequently Asked Questions

How do you become a data science director in New York?

Data science director roles in New York do not require a state-issued license or registration. The typical path starts with a graduate degree in a quantitative discipline, followed by progressive experience as an individual contributor and then a team lead or manager within a New York-based organization. Finance, healthcare, and media companies in New York often promote from within, so building a record leading projects with measurable business impact at a senior data scientist or principal level is the most reliable route to a director title.

How much do data science directors make in New York?

Data science directors in New York earn a median of about $130,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $73,330 for the lowest 10% to over $214,080 for the top 10%. Pay rises with experience, specialty, and employer.

Which companies hire data science directors in New York?

Employers hiring data science directors in New York right now include Capital One, Citi, and Amazon, based on current listings on Migrate Mate as of October 2026. New York's dense concentration of financial institutions, global media companies, and major health systems means director-level data science demand is distributed across multiple industries rather than dominated by a single sector.

Which New York cities have the most data science director jobs?

New York, New York State, and Utica account for the largest share of data science director openings in New York. Manhattan drives the majority of postings given its concentration of global financial firms, advertising technology companies, and major corporate headquarters, while Brooklyn and other areas reflect the growth of tech-focused companies and healthcare systems that have expanded their data operations in recent years.

Are there remote data science director jobs in New York?

Yes, and more than most fields. About 85% of data science director openings tied to New York are remote or hybrid as of October 2026, reflecting how central this role is to analytical and strategic work rather than on-site operations. The portions of the role most likely to remain fully remote are model development oversight, cross-team strategy, and vendor evaluation, while in-person expectations tend to apply to stakeholder alignment and executive reporting.

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

The most realistic path for candidates without director experience is moving laterally from a senior data scientist or lead machine learning engineer role within a New York organization that promotes internally. Large New York employers in financial services and healthcare frequently run formal rotational or leadership development programs that place high-performing senior contributors on a director track. Building a portfolio of cross-functional projects, presenting at internal forums, and taking on team mentorship responsibilities are the concrete steps that most consistently lead to a first director offer in New York.

Where can I find and apply to data science director jobs in New York?

You can find and apply to data science director jobs in New York on Migrate Mate, which lists current openings across the state. Search the listings, find roles that fit your background and goals, and apply directly to the ones that match.

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