Principal Scientist Jobs in New York
Principal Scientist jobs in New York sit in one of the most active research and development markets in the country, concentrated in pharmaceutical and biotech R&D, materials science, and chemical engineering across roles from senior researcher through principal-level leadership. The heaviest hiring comes out of New York City, Long Island's Biopharma Corridor, and the Albany-Capital Region, where employers such as Pfizer, IBM Research, and Bristol Myers Squibb maintain deep scientific operations. The most in-demand specialties are drug discovery, computational biology, and advanced materials characterization. Find a role that fits below and apply directly.
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DESCRIPTION
This Principal Applied Scientist leads the technical vision and execution for Amazon Advertising's performance measurement. Our measurement products and tools help customers understand the holistic impact of their spend on Amazon Ads and optimize their portfolios. This is a complex, multi-disciplinary scientific space spanning machine learning, causal inference, statistics and experimentation, natural language processing, and generative AI. As a GenAI-first organization, we build foundational and agentic models that power advertiser use cases across Ads, while empowering our Applied Scientists to directly build and ship products.
You will guide a team of scientists with expertise across different domains to come together and innovate on some of the hardest problems in advertising, made more challenging by evolving privacy regulations and technological changes. In measuring the comprehensive impact of advertising, key challenges you will tackle include capturing impact: 1) both for identified and increasingly unidentified web traffic in light of an evolving global privacy landscape; 2) for outcomes across retailers, including both within and beyond Amazon; and 3) for both short- and long-term impacts of advertising.
Key job responsibilities
- Driving the scientific vision of the teams in your organization and you advise and influence its technical leadership on performance measurement models and products.
- Identifying, tackling, and proposing innovative solutions to intrinsically hard, previously unsolved problems. You solve problems pragmatically, applying judgment and experience to balance trade-offs between competing interests.
- Bringing clarity to complex problems, probing assumptions, illuminating pitfalls, fostering shared understanding, and guiding towards effective solutions.
- Serving and being recognized by internal and external peers as a thought leader in modeled measurement in Ads. You will engage routinely with the broader scientific community, e.g. as a reviewer, program committee member, workshop organizer, or chair at peer-reviewed internal/external conferences.
- Leading by example, with your papers, analyses, and code setting the standard in your organization for scientific engineering excellence.
- Leading science and design reviews, aligning teams across your organization around coherent algorithmic strategies.
- Influencing your team’s science and business strategy by driving one or more team roadmaps contributing to the organization’s roadmap and taking responsibility for some organizational goals. You drive multiple new product features from inception to production launch.
- Guiding the career development of others, actively mentoring and educating the larger applied science community on trends, technologies, and best practices. You drive the documentation of scientific innovation. You attract bar-raising talent from academia and industry.
- Staying abreast of academic and industry trends, knowing the state of the art, and building on top of existing solutions instead of reinventing when possible.
About the team
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
BASIC QUALIFICATIONS
- 7+ years of hands-on work in predictive modeling and analysis experience
- PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
- Experience working in predictive modeling and analysis
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience programming in Java, C++, Python or related language
- Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
PREFERRED QUALIFICATIONS
- 10+ years of relevant work in industry or academia experience
- Knowledge of problem solving, algorithm design and complexity analysis
- Experience creating novel algorithms and advancing the state of the art
- Have peer-reviewed scientific contributions in premier journals and conferences
- Deep expertise in ad tech and/or ad measurement problems
- Expertise in Causal ML, Sequence Modeling, Experimentation, and/or Forecasting
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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, NY, New York - 218,800.00 - 295,900.00 USD annually
DESCRIPTION
This Principal Applied Scientist leads the technical vision and execution for Amazon Advertising's performance measurement. Our measurement products and tools help customers understand the holistic impact of their spend on Amazon Ads and optimize their portfolios. This is a complex, multi-disciplinary scientific space spanning machine learning, causal inference, statistics and experimentation, natural language processing, and generative AI. As a GenAI-first organization, we build foundational and agentic models that power advertiser use cases across Ads, while empowering our Applied Scientists to directly build and ship products.
You will guide a team of scientists with expertise across different domains to come together and innovate on some of the hardest problems in advertising, made more challenging by evolving privacy regulations and technological changes. In measuring the comprehensive impact of advertising, key challenges you will tackle include capturing impact: 1) both for identified and increasingly unidentified web traffic in light of an evolving global privacy landscape; 2) for outcomes across retailers, including both within and beyond Amazon; and 3) for both short- and long-term impacts of advertising.
Key job responsibilities
- Driving the scientific vision of the teams in your organization and you advise and influence its technical leadership on performance measurement models and products.
- Identifying, tackling, and proposing innovative solutions to intrinsically hard, previously unsolved problems. You solve problems pragmatically, applying judgment and experience to balance trade-offs between competing interests.
- Bringing clarity to complex problems, probing assumptions, illuminating pitfalls, fostering shared understanding, and guiding towards effective solutions.
- Serving and being recognized by internal and external peers as a thought leader in modeled measurement in Ads. You will engage routinely with the broader scientific community, e.g. as a reviewer, program committee member, workshop organizer, or chair at peer-reviewed internal/external conferences.
- Leading by example, with your papers, analyses, and code setting the standard in your organization for scientific engineering excellence.
- Leading science and design reviews, aligning teams across your organization around coherent algorithmic strategies.
- Influencing your team’s science and business strategy by driving one or more team roadmaps contributing to the organization’s roadmap and taking responsibility for some organizational goals. You drive multiple new product features from inception to production launch.
- Guiding the career development of others, actively mentoring and educating the larger applied science community on trends, technologies, and best practices. You drive the documentation of scientific innovation. You attract bar-raising talent from academia and industry.
- Staying abreast of academic and industry trends, knowing the state of the art, and building on top of existing solutions instead of reinventing when possible.
About the team
We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
BASIC QUALIFICATIONS
- 7+ years of hands-on work in predictive modeling and analysis experience
- PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
- Experience working in predictive modeling and analysis
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience programming in Java, C++, Python or related language
- Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment
PREFERRED QUALIFICATIONS
- 10+ years of relevant work in industry or academia experience
- Knowledge of problem solving, algorithm design and complexity analysis
- Experience creating novel algorithms and advancing the state of the art
- Have peer-reviewed scientific contributions in premier journals and conferences
- Deep expertise in ad tech and/or ad measurement problems
- Expertise in Causal ML, Sequence Modeling, Experimentation, and/or Forecasting
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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, NY, New York - 218,800.00 - 295,900.00 USD annually
See All 26 Principal Scientist Jobs in New York
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Find Principal Scientist JobsPrincipal Scientist Jobs by City in New York
Where New York roles are concentrated, by current openings.
Principal Scientist 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
- Retail
- E-Commerce & Online Marketplaces
- Manufacturing
- Distribution & Wholesale
What New York Employers Look For
The qualifications that appear most often in principal scientist jobs across New York.
- PhD in life sciences, chemistry, materials science, or a closely related field
- Minimum eight years of progressive research experience in an industry or academic setting
- Demonstrated publication record or patent portfolio in a core scientific discipline
- Expertise in a principal specialty such as drug discovery, computational biology, or materials characterization
- Experience leading cross-functional project teams and mentoring junior scientists
- Familiarity with New York-area regulatory environments including FDA submissions and GxP compliance
Principal Scientist Jobs in New York: Frequently Asked Questions
How do you become a principal scientist in New York?
A doctoral degree in a relevant scientific discipline is the standard foundation, followed by several years of postdoctoral or industry research experience. New York does not require a state-issued license for most principal scientist roles, but candidates in clinical or environmental fields may need registration with the New York State Department of Health or the New York State Department of Environmental Conservation. Building a publication record or patent portfolio and progressing through senior scientist roles at New York research institutions or industry employers is the most common path.
Which companies hire principal scientists in New York?
Employers hiring principal scientists in New York right now include Amazon, Capital One, and The Estée Lauder Companies, based on current listings on Migrate Mate as of November 2026. New York's concentration of global pharmaceutical headquarters, IBM Research facilities, and leading academic medical centers means openings appear consistently across a wide range of scientific disciplines.
Which New York cities have the most principal scientist jobs?
The cities with the most principal scientist openings in New York are New York, Melville, and Niskayuna. New York City dominates due to its density of pharmaceutical, biotech, and financial-sector R&D operations, while Long Island's Biopharma Corridor anchors strong demand in drug discovery and materials science, and the Albany region draws openings tied to semiconductor and advanced manufacturing research.
Are there remote principal scientist jobs in New York?
Yes, but they're less common, since principal scientist work frequently involves laboratory equipment, proprietary instrumentation, and on-site collaboration. About 33% of principal scientist openings tied to New York are remote or hybrid as of November 2026, and those tend to concentrate in computational biology, bioinformatics, and data-heavy research areas where hands-on lab access is not required.
How can I get hired as a principal scientist in New York with little or no experience?
The most realistic entry path is a postdoctoral fellowship at a New York research institution such as Memorial Sloan Kettering, Rockefeller University, or a SUNY campus, which directly feeds into industry scientist pipelines. From there, lateral moves from associate scientist or research scientist roles at Long Island or New York City biotech firms are the standard bridge. A strong publication record or demonstrated lab expertise in a high-demand area like computational biology or drug formulation gives candidates a clear edge over applicants with generalist backgrounds.
Where can I find and apply to principal scientist jobs in New York?
You can find and apply to principal scientist jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the listings for roles that match your specialty and experience level, then apply directly to the ones that fit.
See All 26 Principal Scientist Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Principal Scientist Jobs