VP of Data Science.
New York.
$346,000
median salary, 33% above the national average
$270,000 to $450,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
If you are evaluating a VP of Data Science offer in New York, NY, here is the reality: $270,000 to $450,000, with $346,000 as the midpoint. 33% above the national average. Technical depth in data infrastructure, statistical rigor, and business impact measurement are the primary drivers. Do not accept the first number.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $311,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$225,000
to $277,000
Mid (3-5 yrs)
$294,000
to $363,000
Senior (6-9 yrs)
$381,000
to $450,000
Lead (10+ yrs)
$433,000
to $536,000
Salary trend
+6% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $225,000 to the total package.
Base
$346,000
Equity
$121,000
Bonus
$76,000
Signing
$28,000
Estimated total: $571,000
How New York compares
New York, NY
$346,000
Cost of living: 28% above average
National Average
$260,000
New York is $86,000 above
VP of Data Science salary by city
Salary by role in New York
What you should know
The VP of Data Science landscape in New York is not what most salary sites will tell you. New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. The city's tech sector has grown rapidly, rivaling the Bay Area for venture funding and startup activity. Remote work has reshaped demand slightly, but employers still pay premiums for in office presence in Manhattan. Technical depth in data infrastructure, statistical rigor, and business impact measurement are the primary drivers. VP of Data Sciences who connect data work to revenue outcomes earn more than those focused purely on technical implementation. Experience with real-time data systems and ML feature engineering adds premiums.
VP of Data Sciences typically earn $203,000 to $338,000, with top performers at large organizations reaching $439,000. Lateral moves into adjacent executive functions or board advisory roles are common progression paths. C-suite advancement depends on demonstrated business impact and organizational scope. In New York, those numbers run higher. The cost of living here is 28% above average, and employers adjust to compete.
Base salary is not the full picture. Equity at top-tier companies adds 30% to 60% above base salary. Annual bonuses of 15% to 25% are standard. Signing bonuses of $25,000 to $75,000 are common when changing roles. Refresher equity grants vest annually. Relocation packages and executive benefits like financial planning are typical. And on the tax side: new York State income tax rates reach 10.9%, and New York City adds a local income tax up to 3.876%. Combined with federal taxes, your effective rate can be among the highest nationally. When someone quotes you $346,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Emphasize your willingness to work from the office in Manhattan. Many NYC employers pay 10 to 15% more for in person roles compared to remote positions. The range for VP of Data Sciences in New York runs from $270,000 to $450,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A CEO in New York earns $345,000 (0% more)
- The highest-paying role in New York is Principal Quantitative Researcher at $452,000
Common questions.
VP of Data Science salary in other cities
Other salaries in New York
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