Data Science Manager Jobs in New York
Data Science Manager jobs in New York represent one of the most active markets in the country, concentrated in financial services, media and advertising, healthcare, and enterprise technology across a range of seniority levels from lead analyst to senior director. Most openings cluster in New York City, with additional hiring in Albany and Buffalo among state government and regional employers. JPMorgan Chase, NBCUniversal, and Memorial Sloan Kettering are among the established organizations consistently hiring for these roles, particularly in machine learning engineering management, analytics leadership, and applied AI. Find a role that fits below and apply directly.
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Showing 4 of 63+ Data Science Manager jobs
DESCRIPTION
Key job responsibilities
- Analyze data trends regarding supply, optimization, ad load, and advertising mix effects that affect advertiser performance and contribute to achieving advertiser goals.
- Present papers to senior leaders on issues like feature development impact on identity recognition rates, and changes of ad selection systems to improve fill rate highlighting insights that will inform our business development and engineering roadmaps.
- Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities.
- Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps.
- Validate financial models through analysis
- Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-dives
A day in the life
The Measurement and Attribution Scientist will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery. There will be an emphasis on understanding the impact of shopper journeys to and from Amazon properties and their implication on product development. The candidate will then analyze the data and present papers and ongoing reports on actionable insights.
About the team
The Ads Science Product Team's Mission: Work alongside those who need product data to apply objective perspective and business logic to uncover insights, advise strategic decisions, and adjust to industry changes.
BASIC QUALIFICATIONS
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Bachelor's degree
- Experience with statistical models e.g. multinomial logistic regression
PREFERRED QUALIFICATIONS
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Palo Alto - 183,000.00 - 247,600.00 USD annually
USA, NY, New York - 175,100.00 - 236,900.00 USD annually
DESCRIPTION
Key job responsibilities
- Analyze data trends regarding supply, optimization, ad load, and advertising mix effects that affect advertiser performance and contribute to achieving advertiser goals.
- Present papers to senior leaders on issues like feature development impact on identity recognition rates, and changes of ad selection systems to improve fill rate highlighting insights that will inform our business development and engineering roadmaps.
- Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities.
- Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps.
- Validate financial models through analysis
- Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-dives
A day in the life
The Measurement and Attribution Scientist will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery. There will be an emphasis on understanding the impact of shopper journeys to and from Amazon properties and their implication on product development. The candidate will then analyze the data and present papers and ongoing reports on actionable insights.
About the team
The Ads Science Product Team's Mission: Work alongside those who need product data to apply objective perspective and business logic to uncover insights, advise strategic decisions, and adjust to industry changes.
BASIC QUALIFICATIONS
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Bachelor's degree
- Experience with statistical models e.g. multinomial logistic regression
PREFERRED QUALIFICATIONS
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Palo Alto - 183,000.00 - 247,600.00 USD annually
USA, NY, New York - 175,100.00 - 236,900.00 USD annually
See All 63 Data Science Manager Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Data Science Manager JobsData Science Manager Jobs by City in New York
Where New York roles are concentrated, by current openings.
Data Science Manager 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
- Retail
What New York Employers Look For
The qualifications that appear most often in data science manager jobs across New York.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Demonstrated experience leading and mentoring data science or analytics teams
- Proficiency in Python, R, or SQL with hands-on machine learning model development experience
- Experience translating business problems into data science solutions for stakeholders
- Familiarity with cloud data platforms such as AWS, Google Cloud, or Azure
- Strong communication skills with a history of presenting findings to executive audiences
Data Science Manager Jobs in New York: Frequently Asked Questions
How do you become a data science manager in New York?
There is no state-issued license or registration required to work as a data science manager in New York. The typical path involves earning a bachelor's degree at minimum, often a master's, in a quantitative field, then building several years of hands-on data science experience before moving into team leadership. New York employers across finance, healthcare, and media consistently look for candidates who have led project delivery and mentored junior analysts before stepping into a formal management role.
Which companies hire data science managers in New York?
Employers hiring data science managers in New York right now include Capital One, Amazon, and Citi, based on current listings on Migrate Mate as of September 2026. New York's concentration of financial institutions, large hospital networks, and media companies means demand for this role stays steady across multiple industries throughout the year.
Which New York cities have the most data science manager jobs?
New York, Queens, and New City have the most data science manager openings in New York. New York City drives the overwhelming majority of listings due to its density of financial services firms, technology companies, and major healthcare systems, while cities like Albany attract openings tied to state government agencies and regional insurers that maintain analytics teams outside the main metro.
Are there remote data science manager jobs in New York?
Yes, and more than most fields. About 82% of data science manager openings tied to New York are remote or hybrid as of September 2026, reflecting how thoroughly the work relies on code, dashboards, and cloud platforms rather than physical presence. The parts of the role most likely to remain fully remote are individual contributor oversight, model review, and cross-functional stakeholder meetings conducted over video.
How can I get hired as a data science manager in New York with little or no experience?
The most realistic entry path is moving into management from a strong individual contributor record rather than applying to manager roles cold. New York employers in finance and healthcare, including large hospital systems and investment banks, regularly recruit analysts and senior data scientists into associate manager or team lead roles to grow internal talent. Building a portfolio of end-to-end projects and taking on informal mentorship or project coordination within a current role signals readiness to hiring managers looking for their next manager from within.
Where can I find and apply to data science manager jobs in New York?
You can find and apply to data science manager jobs in New York on Migrate Mate, which lists current openings across the state. Find roles that fit your experience and apply directly to the ones that match.
See All 63 Data Science Manager Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Data Science Manager Jobs