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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NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, X and Instagram.
Position Summary:
We have an exciting opportunity to join our team as a Data Science Analyst/Engineer.
In this role, the successful candidate Data Engineer / Data Scientist will work to build the data foundation for the groups machine learning and decision-analytic research. This role has two intertwined halves: engineering and analysis. On the engineering side, the position involves working directly with patient electronic health record (EHR) data and other patient registry datasets, including data extraction, curation, cleaning, harmonization, and pipeline development. On the analytic side, the curated data feed advanced machine learning and deep learning models, which are integrated into multimodal frameworks for prediction and decision analytics.
There are also strong opportunities to help incorporate imaging and transcriptomic (and other -omic) datasets into cross-cutting, cutting-edge methodologies, and to take initiative on new approaches that improve patient care.
Job Responsibilities:
Data engineering and curation: extract, curate, clean, harmonize, and manage large EHR and other patient registry datasets, and build reliable, reproducible data pipelines.
Machine learning and deep learning: develop, train, and evaluate advanced machine learning and deep learning models on curated patient data.
Multimodal integration: integrate diverse data types into multimodal models for prediction and decision analytics, with opportunities to incorporate imaging and transcriptomic datasets.
Methodological innovation: contribute to and help drive cross-cutting, cutting-edge methodologies and initiatives aimed at improving patient care.
Communication and collaboration: write clearly, present results effectively, and work closely with a multidisciplinary team of physicians, statisticians, data scientists, and researchers.
Minimum Qualifications:
To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science,
Machine Learning, Applied Statistics, Mathematics or similar field) and 3 years of
experience in machine learning/ data science, or a Bachelor's degree with 5 years of relevant experience.
Proficiency in at least one programming language (Python or R) and experience using machine learning libraries and tools (e.g., scikit-learn or equivalent R packages)
Knowledge of predictive modeling and machine learning concepts, including design, development, evaluation, deployment and scaling to large datasets
Familiarity with computing models for big data Hadoop / MapReduce, Spark etc.
Knowledge of databases (Relational / SQL, NOSQL MongoDB etc.)
Good grasp of software engineering principles. Experience in integrating modern software architectures.
Knowledge and some experience in operational aspects of software development and deployment, including automation, testing, virtualization and container technology
Knowledge of clinical and operational aspects of healthcare delivery.
Excellent written and oral communication skills for a variety of audiences
Preferred Qualifications:
PhD degree in a quantitative field (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field) + 2 years experience.
Two years of hands-on experience managing and analyzing large electronic health record (EHR) and other patient registry datasets.
Demonstrated skills in design and implementation of complex machine learning models.
Demonstrated knowledge of software engineering and operational skills through prior projects.
Demonstrated ability to work effectively with large, complex healthcare datasets in support of clinical, operational, or research initiatives.
Experience applying machine learning methods to real-world healthcare data and translating findings into actionable insights.
Experience collaborating with multidisciplinary teams, including clinicians, researchers, and operational leaders.
Experience with deep learning methods or frameworks is preferred.
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.93 - $126,991.52 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
To view the Pay Transparency Notice, please click here
NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, X and Instagram.
Position Summary:
We have an exciting opportunity to join our team as a Data Science Analyst/Engineer.
In this role, the successful candidate Data Engineer / Data Scientist will work to build the data foundation for the groups machine learning and decision-analytic research. This role has two intertwined halves: engineering and analysis. On the engineering side, the position involves working directly with patient electronic health record (EHR) data and other patient registry datasets, including data extraction, curation, cleaning, harmonization, and pipeline development. On the analytic side, the curated data feed advanced machine learning and deep learning models, which are integrated into multimodal frameworks for prediction and decision analytics.
There are also strong opportunities to help incorporate imaging and transcriptomic (and other -omic) datasets into cross-cutting, cutting-edge methodologies, and to take initiative on new approaches that improve patient care.
Job Responsibilities:
Data engineering and curation: extract, curate, clean, harmonize, and manage large EHR and other patient registry datasets, and build reliable, reproducible data pipelines.
Machine learning and deep learning: develop, train, and evaluate advanced machine learning and deep learning models on curated patient data.
Multimodal integration: integrate diverse data types into multimodal models for prediction and decision analytics, with opportunities to incorporate imaging and transcriptomic datasets.
Methodological innovation: contribute to and help drive cross-cutting, cutting-edge methodologies and initiatives aimed at improving patient care.
Communication and collaboration: write clearly, present results effectively, and work closely with a multidisciplinary team of physicians, statisticians, data scientists, and researchers.
Minimum Qualifications:
To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science,
Machine Learning, Applied Statistics, Mathematics or similar field) and 3 years of
experience in machine learning/ data science, or a Bachelor's degree with 5 years of relevant experience.
Proficiency in at least one programming language (Python or R) and experience using machine learning libraries and tools (e.g., scikit-learn or equivalent R packages)
Knowledge of predictive modeling and machine learning concepts, including design, development, evaluation, deployment and scaling to large datasets
Familiarity with computing models for big data Hadoop / MapReduce, Spark etc.
Knowledge of databases (Relational / SQL, NOSQL MongoDB etc.)
Good grasp of software engineering principles. Experience in integrating modern software architectures.
Knowledge and some experience in operational aspects of software development and deployment, including automation, testing, virtualization and container technology
Knowledge of clinical and operational aspects of healthcare delivery.
Excellent written and oral communication skills for a variety of audiences
Preferred Qualifications:
PhD degree in a quantitative field (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field) + 2 years experience.
Two years of hands-on experience managing and analyzing large electronic health record (EHR) and other patient registry datasets.
Demonstrated skills in design and implementation of complex machine learning models.
Demonstrated knowledge of software engineering and operational skills through prior projects.
Demonstrated ability to work effectively with large, complex healthcare datasets in support of clinical, operational, or research initiatives.
Experience applying machine learning methods to real-world healthcare data and translating findings into actionable insights.
Experience collaborating with multidisciplinary teams, including clinicians, researchers, and operational leaders.
Experience with deep learning methods or frameworks is preferred.
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.93 - $126,991.52 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
To view the Pay Transparency Notice, please click here
See All 56 Data Science Director Jobs in New York
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Find Data Science Director JobsData Science Director Jobs by City in New York
Where New York roles are concentrated, by current openings.
Data Science Director Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Media & Entertainment
- Banking & Financial Services
- Retail
- Fintech
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
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, Metropolitan Transportation Authority, and New York City Department of Health and Mental Hygiene, based on current listings on Migrate Mate as of August 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, Queens, and Manhattan 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 73% of data science director openings tied to New York are remote or hybrid as of August 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.
See All 56 Data Science Director Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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