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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We are seeking a Senior Associate to join our Morgan Health team! Morgan Health is focused on improving the quality, opportunity, and affordability of employer-sponsored health care in the United States. We pursue this strategy through investments, collaborations with the JPMorgan Chase Benefits team, engagement with other market leaders, sophisticated data analytics and research, and policy advocacy. Morgan Health is headquartered in Washington, DC, with team members also based in New York City and Boston. To learn more about our strategy and latest developments, please visit: www.morganhealth.com.
As a Senior Associate - Data Science & Research in Morgan Health, you will be responsible for querying, compiling, manipulating, and synthesizing large volumes of health-related data—including medical and pharmacy claims, survey data, and biometrics. In this role, you will design creative solutions and novel methodologies that enable Morgan Health and its business partners to make data-driven decisions and generate new insights for the employer-sponsored insurance industry. You are a self-motivated problem solver with strong analytics and communication skills who enjoys working in teams and creates value by aligning insights with business objectives.
Job Responsibilities:
- Work across Morgan Health to review business needs and translate them into data-driven analytics projects, implementing approaches to scale or automate processes where applicable
- Implement creative and efficient solutions to clean, join, and analyze data while adhering to HIPAA and firm-wide data use guidelines
- Identify relevant data sources (including insurance claims, biometrics results, survey results, public or licensed data), understand their context and limitations, and proactively investigate and solve data quality issues
- Collaborate with other data scientists and engineers to build well-documented, high-quality and efficient code, data architecture, and data transformations in Python and SQL
- Propose novel research questions or methodologies to solve questions relevant to employer-sponsored insurance
- Compile externally-facing research briefs and papers that showcase insights relevant to other employers and the broader health care industry
- Review and validate analysis findings to ensure data quality and integrity
- Manage relationships with key stakeholders to balance multiple projects within a matrixed environment
- Communicate analytics concepts and insights with non-technical teammates and stakeholders
Required Qualifications, Capabilities, and Skills
- Bachelor's or Master's degree in a quantitative field including, but not limited to statistics, engineering, math, analytics, computer science, public health, operations research, or economics
- 4+ years of professional experience in hands-on analytics work, including relational database structures, data wrangling, common coding languages, and analytical and data visualization tools (e.g. SQL, Python, R; ggplot, seaborn, Tableau)
- Understanding of applied statistics, including controlled regressions and propensity-score matching
- Proven ability to successfully multitask effectively and deliver results with limited supervision
- Experience creating analytics presentations with strong attention to detail
- Excellent verbal and written communication skills, especially when delivering analytical results to non-technical stakeholders
- Team-oriented attitude and proven collaborator
Preferred Qualifications, Capabilities, and Skills
- Health care experience, ideally in a payer or provider setting
- Experience working with medical and pharmaceutical claims data, including standard groupers, common data transformations, and population health metrics
- Experience with survey research methods and familiarity with qualitative or unstructured data
- Experience with machine learning techniques including clustering, decision trees, and predictive modeling
- Extensive content knowledge of U.S. healthcare system, including understanding common business questions about the commercially insured population, value-based care, and point solutions serving the employer-sponsored insurance market
- Master's degree or PhD with a focus on health care analytics, operations research, data science, statistics or engineering
- Peer-reviewed research outputs in fields including applied statistics, health care analytics, informatics, operations, and medicine
To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).
ABOUT USWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
We are seeking a Senior Associate to join our Morgan Health team! Morgan Health is focused on improving the quality, opportunity, and affordability of employer-sponsored health care in the United States. We pursue this strategy through investments, collaborations with the JPMorgan Chase Benefits team, engagement with other market leaders, sophisticated data analytics and research, and policy advocacy. Morgan Health is headquartered in Washington, DC, with team members also based in New York City and Boston. To learn more about our strategy and latest developments, please visit: www.morganhealth.com.
As a Senior Associate - Data Science & Research in Morgan Health, you will be responsible for querying, compiling, manipulating, and synthesizing large volumes of health-related data—including medical and pharmacy claims, survey data, and biometrics. In this role, you will design creative solutions and novel methodologies that enable Morgan Health and its business partners to make data-driven decisions and generate new insights for the employer-sponsored insurance industry. You are a self-motivated problem solver with strong analytics and communication skills who enjoys working in teams and creates value by aligning insights with business objectives.
Job Responsibilities:
- Work across Morgan Health to review business needs and translate them into data-driven analytics projects, implementing approaches to scale or automate processes where applicable
- Implement creative and efficient solutions to clean, join, and analyze data while adhering to HIPAA and firm-wide data use guidelines
- Identify relevant data sources (including insurance claims, biometrics results, survey results, public or licensed data), understand their context and limitations, and proactively investigate and solve data quality issues
- Collaborate with other data scientists and engineers to build well-documented, high-quality and efficient code, data architecture, and data transformations in Python and SQL
- Propose novel research questions or methodologies to solve questions relevant to employer-sponsored insurance
- Compile externally-facing research briefs and papers that showcase insights relevant to other employers and the broader health care industry
- Review and validate analysis findings to ensure data quality and integrity
- Manage relationships with key stakeholders to balance multiple projects within a matrixed environment
- Communicate analytics concepts and insights with non-technical teammates and stakeholders
Required Qualifications, Capabilities, and Skills
- Bachelor's or Master's degree in a quantitative field including, but not limited to statistics, engineering, math, analytics, computer science, public health, operations research, or economics
- 4+ years of professional experience in hands-on analytics work, including relational database structures, data wrangling, common coding languages, and analytical and data visualization tools (e.g. SQL, Python, R; ggplot, seaborn, Tableau)
- Understanding of applied statistics, including controlled regressions and propensity-score matching
- Proven ability to successfully multitask effectively and deliver results with limited supervision
- Experience creating analytics presentations with strong attention to detail
- Excellent verbal and written communication skills, especially when delivering analytical results to non-technical stakeholders
- Team-oriented attitude and proven collaborator
Preferred Qualifications, Capabilities, and Skills
- Health care experience, ideally in a payer or provider setting
- Experience working with medical and pharmaceutical claims data, including standard groupers, common data transformations, and population health metrics
- Experience with survey research methods and familiarity with qualitative or unstructured data
- Experience with machine learning techniques including clustering, decision trees, and predictive modeling
- Extensive content knowledge of U.S. healthcare system, including understanding common business questions about the commercially insured population, value-based care, and point solutions serving the employer-sponsored insurance market
- Master's degree or PhD with a focus on health care analytics, operations research, data science, statistics or engineering
- Peer-reviewed research outputs in fields including applied statistics, health care analytics, informatics, operations, and medicine
To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).
ABOUT USWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 67 Senior Data Science Engineer Jobs in New York
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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
- Fintech
- Media & Entertainment
- Banking & Financial Services
- Energy
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, Amazon, and Citi, based on current listings on Migrate Mate as of October 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, Tarrytown, and New York State. 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 84% of senior data science engineer openings tied to New York are remote or hybrid as of October 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 67 Senior Data Science Engineer Jobs in New York
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