Data Science Lead Jobs in New York
Data Science Lead jobs in New York are among the most active in the country, concentrated in finance, media, healthcare, and technology across a market that ranges from early-career team leads to senior principal roles. Most hiring is centered in New York City, with additional clusters in Buffalo and Albany, where employers like JPMorgan Chase, IBM, and Memorial Sloan Kettering maintain lasting data science practices. The most in-demand specialties are machine learning engineering, NLP, and applied analytics for financial modeling and clinical research. Find a role that fits below and apply directly.
Find Data Science Lead JobsOverview
Showing 5 of 82+ Data Science Lead jobs
Global Commercial Services (GCS) is the global leader in providing payments solutions for Small, Medium, and Large Enterprises. We are in the business of helping our clients get business done! Accelerating sales and driving profitable charge volume growth are critical for the success of the organization. The Sales Enablement team is at the forefront of driving these priorities.
The Senior Manager will play a critical role in shaping and executing data-driven strategies to enhance Sales effectiveness, strengthen portfolio performance and accelerate growth across GCS. Partnering closely with GCS senior leadership and cross-functional teams across Marketing, Finance, Product, Technology, and Capabilities, this individual will apply advanced data science and analytics to solve complex business challenges and influence strategic decisions.
Key areas of focus include identifying growth opportunities, understanding Sales and client behaviors, optimizing incentive effectiveness, and discerning emerging performance risks. The Senior Manager will lead the development and application of advanced statistical and machine learning models to support these priorities and build scalable analytical solutions. The role will also drive innovation through the development of GenAI-powered solutions, leveraging large language models (LLMs), direct API integrations, and unstructured data to expand analytical capabilities and improve business decision-making. This is a fast-paced environment requiring strong relationship skills, expertise in applied data science, technical leadership, and a commitment to excellence.
Minimum Qualifications:
- 5+ years of relevant work experience in data science, machine learning, and advanced analytics
- Bachelor’s degree, preferably in a quantitative field such as Economics, Finance, Computer Science, Mathematics, Statistics, or Engineering
- Experience developing and deploying statistical, machine learning, and deep learning models to solve business problems, using tools such as scikit-learn, PyTorch, or TensorFlow
- Experience developing GenAI solutions, including LLM API integration, retrieval-augmented generation (RAG), and model evaluation
- Strong analytical and conceptual thinking skills, with the ability to translate complex business problems into quantitative approaches and practical solutions
- Proficiency in Python and SQL, with experience processing and analyzing large-scale structured and unstructured datasets using distributed computing frameworks (e.g. Spark)
- Ability to synthesize complex analytical findings, develop effective data visualizations, and influence decisions across senior leadership and cross-functional stakeholders Ability to work independently and collaboratively across teams, demonstrating strong problem-solving skills, intellectual curiosity, and adaptability
Preferred Qualifications:
- Master’s degree or PhD in a quantitative field (Computer Science, Statistics, Econometrics, Mathematics, Physics, Operation Research, Engineering, etc.)
- Stakeholder management at the executive level People leadership experience
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site .
Global Commercial Services (GCS) is the global leader in providing payments solutions for Small, Medium, and Large Enterprises. We are in the business of helping our clients get business done! Accelerating sales and driving profitable charge volume growth are critical for the success of the organization. The Sales Enablement team is at the forefront of driving these priorities.
The Senior Manager will play a critical role in shaping and executing data-driven strategies to enhance Sales effectiveness, strengthen portfolio performance and accelerate growth across GCS. Partnering closely with GCS senior leadership and cross-functional teams across Marketing, Finance, Product, Technology, and Capabilities, this individual will apply advanced data science and analytics to solve complex business challenges and influence strategic decisions.
Key areas of focus include identifying growth opportunities, understanding Sales and client behaviors, optimizing incentive effectiveness, and discerning emerging performance risks. The Senior Manager will lead the development and application of advanced statistical and machine learning models to support these priorities and build scalable analytical solutions. The role will also drive innovation through the development of GenAI-powered solutions, leveraging large language models (LLMs), direct API integrations, and unstructured data to expand analytical capabilities and improve business decision-making. This is a fast-paced environment requiring strong relationship skills, expertise in applied data science, technical leadership, and a commitment to excellence.
Minimum Qualifications:
- 5+ years of relevant work experience in data science, machine learning, and advanced analytics
- Bachelor’s degree, preferably in a quantitative field such as Economics, Finance, Computer Science, Mathematics, Statistics, or Engineering
- Experience developing and deploying statistical, machine learning, and deep learning models to solve business problems, using tools such as scikit-learn, PyTorch, or TensorFlow
- Experience developing GenAI solutions, including LLM API integration, retrieval-augmented generation (RAG), and model evaluation
- Strong analytical and conceptual thinking skills, with the ability to translate complex business problems into quantitative approaches and practical solutions
- Proficiency in Python and SQL, with experience processing and analyzing large-scale structured and unstructured datasets using distributed computing frameworks (e.g. Spark)
- Ability to synthesize complex analytical findings, develop effective data visualizations, and influence decisions across senior leadership and cross-functional stakeholders Ability to work independently and collaboratively across teams, demonstrating strong problem-solving skills, intellectual curiosity, and adaptability
Preferred Qualifications:
- Master’s degree or PhD in a quantitative field (Computer Science, Statistics, Econometrics, Mathematics, Physics, Operation Research, Engineering, etc.)
- Stakeholder management at the executive level People leadership experience
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site .
See All 82 Data Science Lead Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Data Science Lead JobsData Science Lead Jobs by City in New York
Where New York roles are concentrated, by current openings.
Data Science Lead 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
- Retail
- Insurance
- E-Commerce & Online Marketplaces
What New York Employers Look For
The qualifications that appear most often in data science lead jobs across New York.
- Bachelor's or master's degree in statistics, computer science, or a related quantitative field
- Five or more years of applied data science experience with at least two in a lead or senior role
- Proficiency in Python, R, and SQL with hands-on experience in machine learning frameworks such as TensorFlow or PyTorch
- Demonstrated ability to translate business problems into data science solutions in financial services or healthcare settings
- Experience leading cross-functional teams, mentoring junior data scientists, and presenting findings to executive stakeholders
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud and with MLOps pipelines and model deployment practices
Data Science Lead Jobs in New York: Frequently Asked Questions
How do you become a data science lead in New York?
There is no state-issued license required to work as a data science lead in New York, so the path runs through education and demonstrated experience. Most candidates hold at least a bachelor's degree in a quantitative field, with a master's increasingly expected for leadership roles in finance and healthcare. Building a portfolio of end-to-end projects, contributing to open-source work, and progressing through senior individual-contributor roles at New York employers are the most reliable steps toward a lead title.
How much do data science leads make in New York?
Data science leads 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 leads in New York?
Employers hiring data science leads in New York right now include Amazon, Capital One, and American Express, based on current listings on Migrate Mate as of November 2026. New York's concentration of financial institutions, major health systems, and global media companies means demand for data science leads is spread across sectors rather than limited to pure-tech firms.
Which New York cities have the most data science lead jobs?
The cities with the most data science lead openings in New York are New York, New City, and Utica. New York City drives the overwhelming share of listings given the density of financial services, media, advertising technology, and healthcare organizations headquartered there, while Buffalo and Albany see demand from regional healthcare networks, insurance carriers, and state government agencies that maintain in-house analytics teams.
Are there remote data science lead jobs in New York?
Yes, and more than most fields. About 88% of data science lead openings tied to New York are remote or hybrid as of November 2026, reflecting the desk-based, collaborative nature of the work. The most fully remote opportunities tend to be at technology companies and financial services firms with distributed teams, while roles involving sensitive clinical data or embedded product teams are more likely to require in-office days in New York City.
How can I get hired as a data science lead in New York with little or no experience?
The most realistic entry path is moving into a data scientist or senior analyst role first, then building toward a lead title through internal promotion. Large New York employers like Citigroup, NYU Langone Health, and Verizon run rotational analytics programs and new-graduate hiring tracks that place candidates without leadership experience into structured team environments. Building skills in Python and machine learning, completing a publicly visible project portfolio, and pursuing roles in adjacent positions like data analyst or machine learning engineer are the credentials that open the door fastest.
Where can I find and apply to data science lead jobs in New York?
You can find and apply to data science lead jobs in New York on Migrate Mate, which lists current openings from employers hiring in the state right now. Find roles that fit your experience and apply directly to the ones that match.
See All 82 Data Science Lead Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Data Science Lead Jobs