Salario de Científico de Datos en New York (2026)
El salario promedio de un Científico de Datos en New York es de $150,000/año. Después de impuestos, tu sueldo neto estimado es de $105,839/año ($8,820/mes).
Desglose del Sueldo Neto
| Categoría | Cantidad |
|---|---|
Sueldo Neto Anual | $105,839 |
Sueldo Neto Mensual | $8,820 |
Sueldo Neto Quincenal | $4,071 |
Sueldo Neto por Hora basado en 2,080 hrs/año | $51/hr |
Impuesto Federal | $24,734 |
Impuesto Estatal | $7,952 |
Impuestos FICA | $11,475 |
Tasa Efectiva de Impuesto impuestos totales ÷ salario bruto | 29.44% |
¿Compensación con acciones? Usa la calculadora correcta.
RSU, ISO y ventas de acciones se gravan diferente. Elige la herramienta que corresponde a tu evento.
Calculadora RSU
Ingreso al vest + déficit de sell-to-cover + proyección de ganancia de capital.
Calcular vest RSUCalculadora ISO/AMT
Exposición a AMT federal, phaseout de exención y tu punto de crossover.
Calcular AMTGuía de Stock Comp
RSU vs NSO vs ISO vs ganancias de capital — cómo se grava cada uno.
Leer la guíaRangos de Salario de Científico de Datos en New York
No todas las Científico de Datoss ganan lo mismo — ni de cerca
New York data science is dominated by one structural fact: the financial sector pays more for quantitative talent than any other industry on earth. Hedge funds, high-frequency trading firms, and investment banks compete for the same researchers as Bay Area AI labs — and frequently win. Outside the finance bubble, NYC also has a substantial product DS market across media tech, fintech, and the NYC FAANG offices.
Quant Researcher (HFT / Hedge Fund)
$300,000–$700,000+
Citadel, Two Sigma, Jane Street, HRT; PnL-tied at top end
Quant Developer / Trader
$250,000–$500,000+
Combined research and trading roles; bonus-heavy
Principal / Staff Data Scientist
$260,000–$400,000
Google NYC, Meta NYC, Bloomberg, large fintech
Senior Data Scientist
$180,000–$290,000
Strong floor across finance, media tech, and big tech NYC offices
ML Engineer (Senior)
$200,000–$360,000
Bloomberg ML platform and finance-adjacent ML hiring aggressively
Data Scientist (Mid-Level)
$140,000–$220,000
Healthy mid-market; finance roles trend higher than tech-product DS
Data Engineer
$140,000–$245,000
Finance reliability requirements drive premium comp
Analytics Engineer
$125,000–$200,000
Growing role at NYC SaaS, media tech, and fintech
Research Scientist (Industry Lab)
$220,000–$450,000
Google NYC, Meta NYC, IBM Research; smaller community than Bay Area
Junior / New Grad DS
$95,000–$165,000
Finance rotational programs above standard tech new-grad comp
Vale la pena saber: The quant tier is the defining feature of NYC DS comp. Top hedge funds and HFT firms hire from a small pool of strong-PhD quantitative researchers and pay accordingly — total comp packages above $1M for senior researchers are not rare. The interview pipeline is its own world (math/probability heavy, multi-day onsites). For non-quant DS, comp aligns more closely with national tech-DS norms.
The NYC data science market — finance, tech, and the tax math
#1
state for quantitative researcher compensation
14.8%
combined top NY state + NYC marginal tax rate
$700k+
top quant researcher total comp at HFT firms
New York's DS market has two relatively distinct layers. The finance/quant layer (Citadel, Two Sigma, Jane Street, Hudson River, Goldman Sachs, JPMorgan, Bloomberg) operates on its own comp scale, hiring pipeline, and culture. The tech/product layer (Google NYC, Meta NYC, Amazon, Spotify, large fintech and media-tech) operates closer to national big-tech norms.
The finance premium is real but conditional. Quant researcher comp clears senior FAANG comp easily — but the work, hours, and pressure are also distinctly different. Most quant teams expect deep statistical/probability backgrounds plus production code skills, and the interview process filters hard on both.
New York's tax structure is the persistent headwind. State income tax tops at 10.9%, and NYC adds up to 3.876% on top of that — the combined marginal rate exceeds 14% at higher comp levels. A senior DS earning $300,000 living in Manhattan pays roughly $20,000–$30,000 more in state and city tax than the equivalent role in Washington or Texas. Annually.
The New Jersey commute option meaningfully changes the math. Engineers and DS professionals living in Jersey City or Hoboken pay only NJ state tax (no NYC tax), while the PATH train delivers them to Midtown or FiDi in 18 –25 minutes. The savings can be $8,000–$15,000 annually at senior DS comp levels.
New York for data scientists — the lifestyle accounting
New York City offers a lifestyle that is genuinely impossible to replicate in any other US data science market. Subway access means no car. Cultural density is unmatched. The cross-industry mix — finance, media, fashion, tech, healthcare — creates a much more diverse social and professional ecosystem than the Bay Area's tech monoculture.
The financial reality is sharp. Manhattan rent for a one-bedroom in a safe, well-connected neighborhood runs $3,000–$4,500/month. Even at senior DS comp, take-home after rent and tax in Manhattan often feels tighter than in equivalent Bay Area or Seattle setups. Brooklyn, Queens, and the New Jersey commute belt are the standard adjustments.
The NYC AI/ML research community is smaller than the Bay Area's but real and growing. Google NYC and Meta NYC have substantive research presences. Bloomberg's AI Engineering team is large. NYU's Center for Data Science and Columbia's research community add academic density.
How New York taxes work for data scientists (and how to keep more)
NYC-resident DS faces the heaviest US data science tax stack: 14.78% combined NY state + NYC city tax at top brackets, plus federal + + Additional Medicare. At $400K total comp staff DS, NYC resident pays effective ~50%+ marginal tax on incremental dollars. At $700K quant researcher with bonus, top-bracket 10.9% NY state + 3.876% NYC city = 14.78% combined on top dollars — meaningful relative to 0% in WA / TX.
The NJ commuter strategy is critical for NYC tech / quant DS. NJ resident DS working at Bloomberg / Google NYC / Citadel / Two Sigma pays NY non-resident tax (with NJ credit for NY tax paid) but AVOIDS NYC city tax 3.876% entirely. Saves $8K-$25K/year for $300K-$700K DS comp. Hoboken / Jersey City / Bergen County are common patterns. PATH commute (15-25 min to Manhattan) is faster than many UES / Brooklyn subway commutes. At $500K+ comp, NJ commuter saves $15K-$20K/year in NYC city tax alone — meaningful enough to justify NJ residence over Manhattan / Brooklyn.
Quant / hedge fund bonus timing is critical. Citadel, Two Sigma, Jane Street, HRT bonus structures concentrate compensation in single calendar years. Strategic bonus deferral (where allowed) + maxing in bonus year + charitable bunching via DAF = meaningful tax optimization. A $400K bonus year with $47.5K + $75K DAF charitable bunching can save $50K+ in federal + state + city tax.
at FAANG NYC offices (Google NYC, Meta NYC). $47.5K/year of after-tax → Roth conversion ABOVE the regular $24,500 limit. Most major quant funds (Citadel, Two Sigma, Jane Street) offer 401(k) with after-tax contributions + in-plan conversion. Verify with your plan — some hedge fund 401(k)s have unique structures (Citadel offers profit-sharing instead of at some levels).
sell-on-vest discipline at FAANG NYC. Same logic as Bay Area — sell vested RSUs immediately = $0 cap gains exposure. NY also taxes at ordinary rates (no preferential NY rate) — selling at vest is optimal.
Backdoor Roth IRA $7,500/year. Bypasses phase-out at staff+ comp.
if eligible ($4,400 single / $8,750 family). Triple-tax-advantaged.
Carry interest at PE / hedge funds requires 3-year fund holding for treatment. Critical for senior quant researchers / partners at PE-backed AI startups in NYC. Strategic timing of carry distributions across calendar years can save $50K-$200K+ in state + city tax.
Out-of-state retirement / pre-liquidity-event relocation strategy at $500K+ comp — many senior NYC quant / FAANG DS evaluate FL / TX / NV / NH (now 0% on investment income) relocation pre-IPO or pre-bonus liquidity event. Saves 14.78% NYC combined tax on incremental dollars. NY DOR audits aggressively on out-migration of high-income filers — document carefully (driver's license, voter registration, primary residence, time-in-state per 183-day rule).
- →If you can live in NJ and commute via PATH: claim the NJ commuter savings. Saves $8K-$25K/year for $300K-$700K DS. Hoboken / JC / Bergen County. PATH 15-25 min to Manhattan.
- →Max at Google NYC / Meta NYC / quant funds offering it — $47.5K/year. $700K-$1.2M tax-free retirement assets over career.
- → sell-on-vest discipline — eliminates capital gains exposure entirely.
- →Quant bonus timing optimization — strategic bonus deferral + maxing + charitable bunching via DAF in big bonus year saves $50K+ in tax.
- →Backdoor Roth IRA $7K/year — bypasses phase-out at staff+ comp.
- → max + don't spend — triple-tax-advantaged.
- →Carry timing — 3-year holding for treatment at PE / hedge fund senior comp tier.
- →Pre-IPO / pre-bonus relocation strategy at $500K+ comp — FL / TX / NV / NH save 14.78% on incremental dollars. Document residency carefully per NY 183-day rule.
- →Charitable bunching via DAF in big bonus / vesting years — bunches 3-5 years of giving for itemized deduction.
Three NY DS submarkets — what each one looks like
Quant research / HFT / hedge fund tier, FAANG NYC (Google / Meta / Bloomberg), and fintech / media tech are three different NY data science career paths.
Quant Research / HFT / Hedge Fund (Citadel / Two Sigma / Jane Street / HRT / DE Shaw)
Total comp $300K-$700K · senior $700K-$2M+ · partner $2M-$20M+Citadel (NYC + Miami), Two Sigma SoHo, Jane Street (downtown Manhattan), Hudson River Trading (downtown), DE Shaw (midtown), Renaissance Technologies (Long Island, hires into NYC). PhD typically required for research scientist track. PnL-tied compensation at top tiers. Bonus-heavy structure concentrates comp in calendar years. Some funds offer ; verify per fund.
Quant research is distinct US DS market. Comp at top tier rivals AI lab comp ($1M+ packages). Career path more PnL-volatile than tech but ceiling higher. NYC concentration is structural — Bloomberg / Goldman Sachs / Morgan Stanley quant talent flows feed quant fund hiring.
FAANG NYC + Bloomberg (Google NYC / Meta NYC / Bloomberg / Spotify)
Total comp $200K-$450K · staff+ $400K-$700KGoogle NYC (Hudson Yards, ~14K employees), Meta NYC (Hudson Yards), Bloomberg LP (59th + Lex, 5,000+ engineers), Spotify (Wall Street), Stripe NYC, DraftKings, Etsy Brooklyn, Squarespace. + Backdoor Roth + at most major employers. Workforce housing patterns vary — Manhattan / Brooklyn / Jersey City via PATH / LIRR.
FAANG NYC is smaller than Bay Area but offers career mobility within NYC + cultural / lifestyle access. Bloomberg AI Engineering is unique large-scale industry research org with strong academic ties.
Fintech / Media Tech (Better.com / Robinhood / NYC FinTech + NY Times / WSJ / Vox)
Total comp $180K-$380K · senior $300K-$500KRobinhood NYC, Better.com (insurtech), Capital One NYC, Goldman Sachs Marcus tech, JPMorgan AI / Quant teams, NY Times Data team, Spotify, smaller fintech startups. Mid-tier between FAANG NYC + quant tier. Mix of equity + cash comp varies by employer.
NYC fintech + media tech is genuinely NYC — driven by NYC industry concentration. Career path more cash-comp-focused than Bay Area equity-heavy structure.
The career arc — from Bloomberg engineer to staff+ to quant partner / out-of-state retirement
Year 1-3 (Junior / New Grad DS): $150K-$220K total comp at FAANG NYC. PhD new grads at quant funds higher ($200K-$350K). MS at fintech lower ($130K-$180K). + Backdoor Roth from year 1.
Year 3-7 (Mid-Level / Senior DS): $220K-$380K total comp. Senior level at FAANG NYC / Bloomberg / mid-tier quant. vesting accelerates at FAANG. Quant bonus structure concentrates comp in bonus years.
Year 7-15 (Staff / Principal / Quant Researcher): $300K-$700K total comp. Staff at FAANG NYC / Senior Quant Researcher at top funds. PnL-tied comp at quant tier. Senior researcher at Citadel / Two Sigma can clear $1M-$2M with strong year.
Year 15+ (Distinguished / Senior Principal / Quant Partner): $700K-$5M+ total comp. Top quant tier. Partnership / equity at hedge fund + carry distributions. Pre-liquidity-event relocation strategy is important — FL / TX / NV / NH residence pre-major-bonus / IPO / carry distribution saves 14.78% NYC combined tax on incremental dollars.
FIRE / Pre-Liquidity Relocation is accessible at NY quant tier. Senior quant researcher earning $1M-$3M with disciplined + Backdoor Roth + sell-on-vest + carry distribution timing + pre-liquidity-event NJ → FL / TX / NV relocation can accumulate $10M-$50M by age 45-50. Many NYC senior DS / quant retire early to FL / TX / NV (no state tax retirement) or relocate to lower-cost markets while continuing remote / advisory work.
Where NYC data scientists actually live
New York DS residential geography is defined by transit lines and tax jurisdiction. The big tech offices cluster around Hudson Yards/Chelsea (Google, Meta) and lower Manhattan (some fintech). Quant funds cluster in Midtown and downtown. Bloomberg sits at 59th and Lex.
Astoria / Long Island City, Queens
N/W/7 to Midtown · 20–25 min to Hudson Yards · younger DS demographic · diverse food
Park Slope / Crown Heights, Brooklyn
2/3/4/5 to FiDi/Midtown · family-oriented · strong neighborhoods
Jersey City / Hoboken, NJ
PATH to Midtown 18–22 min · NJ state tax only — no NYC tax · materially cheaper rent
Williamsburg / Greenpoint, Brooklyn
L train to Manhattan · creative-industry density · expensive but vibrant
Chelsea / West Village, Manhattan
Walking distance to Google/Meta NYC offices · highest rents · for those whose employer pays for it
Montclair / Maplewood, NJ
NJ Transit commuter rail · suburban family option · 35–50 min to Penn Station · top-rated schools
The Jersey City / Hoboken option is heavily underutilized by DS hires assuming they need to live in the city. The PATH-to-Midtown commute is shorter than the average Brooklyn commute, and the savings on NYC city tax compound meaningfully over a career.
¿Es la decisión correcta?
New York for data scientists — who it works for
A tu favor
- +Quant researcher comp at hedge funds and HFT firms rivals or exceeds top FAANG packages
- +Finance + tech intersection creates unique cross-industry career options not available elsewhere
- +Subway means no car — significant lifestyle and financial advantage versus most US tech hubs
- +Cultural density and urban lifestyle are genuinely unmatched
- +NJ commute option provides suburban housing access with material tax savings
- +Cross-industry diversity (finance, media, healthcare, tech) reduces single-industry risk
Vale la pena saber antes de firmar
- −Combined NY state + NYC tax rate among highest effective rates in the developed world
- −Manhattan rent makes non-finance DS comp feel insufficient relative to gross figures
- −Quant culture at HFT/hedge funds is intense — hours and pressure both significant
- −AI research community real but narrower than the Bay Area at the very top
- −Subway reliable but aging — service disruptions are a daily reality
- −Winter weather (8–10 weeks of cold and gray) affects quality of life meaningfully
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