Data Scientist Jobs in New York
Data Scientist jobs in New York are among the most active in the country, concentrated in financial services, technology, healthcare, and media, with openings at every level from entry-level analyst to principal scientist. New York City anchors the market, but Buffalo and Albany also show consistent hiring activity, particularly at large institutions. Well-known employers with lasting data science footprints here include JPMorgan Chase, IBM, and Memorial Sloan Kettering Cancer Center, with the strongest demand in machine learning engineering, NLP, and quantitative analytics. Find a role that fits below and apply directly.
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Why You Belong Here
At Victoria’s Secret & Co, you’ll join a world-leading specialty retail brand recognized globally for innovation and excellence in lingerie and fashion. You’ll work alongside industry leaders to set the standard for what a retail brand can achieve, placing customers at the center of everything we do to create products and experiences that bring them joy.
We believe everyone deserves a place where they truly belong. We celebrate individuality and know that your passion, experience, and unique perspective strengthen our team and business. Here, you’ll be empowered to perform, grow, and engage through unmatched opportunities to develop your skills, gain real-world experience, and learn from the best in the business.
YOUR ROLE
The Lead Data Science Consultant will be a seasoned data science leader in the customer & marketing areas partnering effectively with enterprise marketing & customer insights teams to scale AI & data science capabilities, build Agentic decision-support tools with measurable operational impact and drive AI adoption. He/she shall play a hands-on technical role in building and architecting data science solutions by working with junior team associates. He/she would be a data science consultant collaborating closely with the VP, Data Science & core business stakeholders to deliver outstanding business outcomes for problems within the customer & marketing areas:
- MarTech data foundations, journey optimizations, lifecycle modeling,and agentic AI activations for path to loyalty,
- Customer segmentations on loyalty/value, price sensitivity, brand/category/product affinities,
- A/B testing, measurement frameworks & Causal modelling,
- Personalization & recommendations - personalize through the right channel, with the right content for the right product,
- Lookalike, affinity, CLV & propensity models,
-
Generative AI initiatives.
You will work directly on the data science & AI problems that have the most impact on VS&Co's digital e-commerce and customer/marketing areas.
YOUR IMPACT
Partner effectively with customer, marketing & digital teams to scale shared AI/ML capabilities across the company, build decision-support tools with measurable operational impact and drive AI adoption.
Engage with cross-functional partners (marketing ops, digital merchants, customer analytics, etc.) to translate use cases into data science & AI problem statements.
Build conversational AI agents to deliver faster insights that drive customer strategy on acquisition, retention & growth.
Partner across enterprise and build/deploy AI agents for strategic enterprise priorities.
Deliver ML models with strong performance, high reliability, and measurable business impact; ensure solutions are usable, measurable, and trusted by front-line teams.
Conduct design reviews and solution reviews, represent data science at the enterprise technical council to drive scalable architectures and agentic AI commerce solutions.
Collaborate and implement the overall data science strategy for strategic enterprise initiatives. Evaluate, recommend, & implement state-of-the art algorithms and methods with measurements at scale.
Click here for benefit details related to this position.
Maximum Salary: $227,115.00
VS&Co provides a range of compensation for this role as shown. Your actual salary will be determined by a number of factors, including: your specific skills and experience, geographic region, or other relevant factors.
YOUR EXPERIENCE
10+ years of relevant experience in data science & analytics role preferably in retail domain.
Strong experience building & deploying data science models for customer & marketing use cases.
- Strong programming skills. Expert level proficiency in Python, SQL.
Strong written & verbal communication skills. Ability to communicate complicated statistical analytical concepts & solutions to business stakeholders in a simplified comprehensible manner.- Excellent presentation skills & ability to shape course of action through persuasion & negotiations.
- Collaborate actively with topic owners to understand and develop advanced analytics / data science.
- Strong consulting background with experience & exposure driving insights and data science-based value outcomes.
We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws. Please see links: California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Philadelphia Fair Chance Law, San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance
An equal opportunity employer, we do not discriminate in hiring or terms and conditions of employment because of an individual’s race, color, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, marital status or any other protected category recognized by state, federal or local laws. We only hire individuals authorized for employment in the United States.
See All 179+ Data Scientist Jobs in New York
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Find Data Scientist JobsData Scientist Jobs by City in New York
Where New York roles are concentrated, by current openings.
Data 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 & Software23
- Investment & Asset Management7
- Banking & Financial Services6
- Science & Research4
- Fintech3
What New York Employers Look For
The qualifications that appear most often in data scientist jobs across New York.
- Bachelor's or master's degree in statistics, computer science, or a related quantitative field
- Proficiency in Python or R for data analysis, modeling, and pipeline development
- Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Ability to write complex SQL queries and work with large relational or cloud databases
- Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib
- Strong communication skills to present findings clearly to non-technical stakeholders
Data Scientist Jobs in New York: Frequently Asked Questions
How do you become a data scientist in New York?
Data scientist is not a licensed profession in New York, so no state board exam or registration is required. Most employers in New York expect a bachelor's degree at minimum, with a master's in statistics, computer science, applied mathematics, or a closely related field preferred for mid-level and senior roles. Building a portfolio of projects, earning credentials in cloud platforms used heavily in New York finance and healthcare, and gaining experience with the full modeling lifecycle gives candidates a concrete edge in this market.
How much do data scientists make in New York?
Data scientists 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 scientists in New York?
Employers hiring data scientists in New York right now include Capital One, Lyft, and Amazon, based on current listings on Migrate Mate as of November 2026. New York's concentration of financial institutions, major hospital systems, and global media companies means data scientists here often work at the intersection of high-stakes decisions and large proprietary datasets.
Which New York cities have the most data scientist jobs?
New York, Brooklyn, and Melville have the most data scientist openings in New York. New York City dominates because of its density of financial services firms, technology companies, and academic medical centers, while Buffalo and Albany draw hiring from healthcare networks, state government agencies, and growing regional tech employers that consistently post analytical roles.
Are there remote data scientist jobs in New York?
Yes, and more than most fields. About 71% of data scientist openings tied to New York are remote or hybrid as of November 2026, reflecting the desk-based and collaborative-software nature of the work. Modeling, research, and pipeline development roles are the most likely to be fully remote, while positions that require close collaboration with trading floors or clinical operations teams tend to require at least partial on-site presence.
How can I get hired as a data scientist in New York with little or no experience?
The most realistic entry path is a junior data analyst or associate data scientist role, which large New York employers in finance and healthcare regularly post for candidates with a relevant degree but limited professional history. Banks like Citigroup and insurance firms operating in New York often run structured analyst development programs for new graduates. Contributing to open-source projects, completing a publicly visible Kaggle portfolio, or earning a cloud certification recognized in New York's finance and healthcare sectors can move an application past screening when direct experience is thin.
Where can I find and apply to data scientist jobs in New York?
You can find and apply to data scientist jobs in New York on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the listings, find roles that fit your background and location, and apply directly to the ones that match.
See All 179+ Data Scientist Jobs in New York
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