Senior Data Science Engineer Jobs in New York
Senior Data Science Engineer jobs in New York represent one of the most active and competitive markets in the country, concentrated across financial services, media and advertising technology, healthcare analytics, and enterprise software. Most hiring is centered in New York City, with additional clusters in Albany and Buffalo, where employers like JPMorgan Chase, IBM, and Memorial Sloan Kettering maintain substantial data science operations. The most in-demand specialties are machine learning infrastructure, NLP, and large-scale data pipeline engineering. Find a role that fits below and apply directly.
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Showing 5 of 56+ Senior Data Science Engineer jobs
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 Senior Data Science Engineer Jobs in New York
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Find JobsSenior Data Science Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Senior Data Science Engineer 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 senior data science engineer jobs across New York.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Five or more years of experience in data science or machine learning engineering roles
- Proficiency in Python, SQL, and distributed computing frameworks such as Spark or Databricks
- Experience designing and deploying production machine learning models at scale
- Strong background in cloud platforms, particularly AWS, GCP, or Azure data services
- Demonstrated ability to lead cross-functional projects and mentor junior data scientists
Senior Data Science Engineer Jobs in New York: Frequently Asked Questions
How do you become a senior data science engineer in New York?
Senior data science engineer roles in New York do not require a state-issued license, so the path runs through education and experience. Most employers expect at least a bachelor's degree in computer science, statistics, or engineering, and a master's degree strengthens competitiveness in New York's financial services and healthcare sectors. Candidates typically build toward the senior level through several years of applied machine learning or data engineering work, often starting at mid-level roles in New York's dense tech and finance ecosystem.
How much do senior data science engineers make in New York?
Senior data science engineers 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 senior data science engineers in New York?
Employers hiring senior data science engineers 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 concentration of major financial institutions, media companies, and health systems means senior data science engineers find consistent demand from both large enterprises and well-funded technology firms headquartered or regionally anchored in the state.
Which New York cities have the most senior data science engineer jobs?
The cities with the most senior data science engineer openings in New York are New York, Queens, and Manhattan. New York City drives the overwhelming majority of demand through its concentration of Wall Street firms, advertising technology companies, and major hospital networks, while Albany's state government agencies and insurance sector and Buffalo's growing healthcare and financial services employers account for much of the activity outside the metro.
Are there remote senior data science engineer jobs in New York?
Yes, and more than most fields. About 73% of senior data science engineer openings tied to New York are remote or hybrid as of August 2026, reflecting how well the role's work adapts to distributed settings. The tasks most commonly performed remotely include model development, data pipeline work, and experiment design, while stakeholder-facing responsibilities like product collaboration and architecture reviews more often require in-person or hybrid presence.
How can I get hired as a senior data science engineer in New York with little or no experience?
The most realistic entry path is through a junior or associate data scientist or data analyst role at a New York employer, then building toward the senior level from within. Large New York institutions such as major financial services firms and hospital networks like NewYork-Presbyterian run structured data analytics rotational or new-graduate programs that place candidates without deep experience into project teams. Building a portfolio of end-to-end machine learning projects and earning a credential in a major cloud platform strengthens applications considerably in New York's competitive hiring environment.
Where can I find and apply to senior data science engineer jobs in New York?
You can find and apply to senior data science engineer jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the listings to find roles that match your experience level, preferred location, and target industry, then apply directly to the ones that fit.
See All 56 Senior Data Science Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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