Data Scientist Salary in New York — 2026 BLS Data
Salary distribution
Percentile breakdown of Data Scientist base salaries in New York.
Data scientist salary in New York sits at a $190K median base for 2026, with the 25th-to-90th-percentile spread running $145K to $390K. That’s BLS OEWS data (May 2024 release, SOC 15-2051) for the NY-Newark-Jersey City metro, layered with current Levels.fyi totals for the NYC market. National median for the same role was $112,590, so NYC pays roughly a 65-70% premium over the country at the median, and even more at the top of the band. The reason: hedge funds, prop shops, and big-tech NYC offices all hire from the same DS talent pool, which pulls the entire distribution up.
This guide breaks down where the spread comes from, how quant finance and big tech total comp differ in the city, and what to ask for when an offer lands.
How NYC data scientist salaries compare to other cities
NYC is the highest-paying market in the country for data scientists once you include bonus and equity. Base salary alone, the Bay Area still edges ahead — Bay Area DS medians run $195-210K base versus NYC’s $190K. Seattle trails at $175-185K. Austin, Chicago, and Boston are 15-25% behind NYC base, and remote-US DS roles cluster around $160-170K median base since most remote bands are anchored to a national midpoint instead of NYC’s local market.
Where NYC takes the crown is total comp. A data scientist at a hedge fund or proprietary trading firm can clear Bay Area FAANG total comp at the same seniority because the discretionary bonus (often 50-150% of base in a strong year) more than offsets lower equity refresh value. Levels.fyi pegs the average NYC data scientist total comp at $183,600, with senior DS averaging $246K and the top tier — Two Sigma, Citadel, Jane Street — pulling well past $300K median.
The cost-of-living adjustment cuts the other way. NYC’s COL index of 172.3 makes a $260K NYC offer roughly equivalent to a $188K Austin offer in take-home terms after rent, taxes, and groceries. If you’re weighing a cross-city move, look at total comp net of COL, not base. The NYC premium is real but it’s narrower than the sticker number suggests.
What drives the spread in NYC
Three forces explain why NYC data scientist comp has a wider spread than most cities.
Hedge fund and quant DS premium. Data scientists and quant researchers at Two Sigma, Citadel, Jane Street, D.E. Shaw, and Millennium pull base salaries 30-60% above the BLS median. Levels.fyi shows Two Sigma data scientist comp in NYC running $341K-$372K total at L1-L4, with a $300K median package and the top reported package at $515K. That’s not the top of the market either — quant researchers and senior ML scientists at the same firms regularly clear $500-700K all-in. The bonus multiplier is the real story here: base might be $200-250K, but a strong year pushes total comp past $400K.
Big-tech NYC offices. Google, Meta, Amazon, and Microsoft all have meaningful DS headcount in Manhattan and pay close to their Bay Area bands. Levels.fyi shows Google data scientist comp in the NYC area ranging from $145K (L3) to $431K (L6), with senior DS clustering around $240-280K total. Meta, Amazon, and Bloomberg cover similar ranges. These employers stretch the top of the distribution past traditional finance base salaries before bonus is even counted.
Media, ad-tech, healthtech, and consumer. The lower half of the spread comes from NYC’s media and ad-tech sector — NYT, Hearst, Spotify, NBCUniversal, plus consumer brands and healthtech. Base salaries here run $130-170K with modest bonus and limited equity. New York Times Company DS comp, per Levels.fyi, runs $100K-$157K. That’s why the 25th percentile sits at $145K despite the high-end stretch.
The result is a bimodal distribution: most NYC data scientists cluster around $160-220K base, but the top quartile gets pulled hard by hedge fund bonuses and FAANG equity grants.
Total comp for a NYC data scientist
Base salary is the BLS number. The real package looks different by industry.
Big tech (Google, Meta, Amazon, Microsoft NYC): $180-260K base, $30-60K target bonus, $80-200K annual equity grant. Senior IC roles (L5/E5) routinely clear $350-450K total. Sign-on bonuses range $25-80K depending on level and counter-offers.
Quant finance (Two Sigma, Citadel, Jane Street, DE Shaw, Millennium): $200-275K base, discretionary bonus typically 50-150% of base in a normal year and higher in strong years, no equity. Mid-level DS at a top fund easily clears $400K all-in. Sign-on can be substantial ($50-150K) to offset deferred comp left behind at a previous employer.
Fintech and Tier-1 startups (Stripe NYC, Ramp, Plaid, Brex, Datadog): $175-225K base, $20-40K target bonus, $40-120K annual equity refresh. Total comp lands $250-350K for senior IC roles. Pre-IPO equity can be a meaningful upside but carries dilution and liquidity risk that public-company RSUs don’t.
Media, ad-tech, healthtech: $130-180K base, $10-25K target bonus, limited equity. Total comp typically caps at $200-240K for senior IC roles. Trade-off is usually better work-life balance and less on-call pressure than tech or quant.
When evaluating offers, normalize on total comp at year three, not year one. A $190K base with $80K annual equity refresh beats a $230K base with no equity at year three, every time.
What experience and specialization do to comp
Junior DS (0-2 years) in NYC starts at $130-160K base, more like $150-180K in big tech or quant. Mid-level (3-5 years) sits at $170-220K base. Senior IC (5-8 years) clears $220-290K base. Staff and Principal DS hit $290-400K base in tech, and there’s effectively no ceiling at hedge funds for star performers.
Specialization stretches the band further. Machine learning research, causal inference, time-series forecasting for trading, and recommendation systems all command 15-30% premiums over generalist DS. NLP and LLM-fluent candidates currently see the steepest pull — every NYC fintech, ad-tech, and consumer-AI startup is hiring, and a senior ML scientist with production LLM experience can credibly ask for $300K+ base in 2026.
PhDs in stats, ML, or quantitative fields land closer to the top of each band, especially at quant funds where the research culture rewards depth. A masters in CS or stats with strong production engineering gets close to the same number in industry roles, though — the gap closes after 3-4 years.
Negotiation playbook for a NYC data scientist offer
Three moves consistently pull comp up at the offer stage.
Anchor on total comp, not base. Big tech recruiters frame offers around base + bonus + equity over four years, then quote a single annual number. Ask for the breakdown by year and look at year three after vesting cliffs flatten. Quant funds anchor on base + signing + first-year bonus target — push for the bonus target in writing even if it’s officially discretionary.
Use competing offers strategically. A real competing offer at $260K total comp from a known competitor will move a $230K initial offer by 10-20% in most cases. Recruiters expect this in NYC; not negotiating leaves money on the table. Levels.fyi screenshots of comparable comp at the same company and level work nearly as well as a written competing offer.
Negotiate equity refresh and sign-on, not just base. Base salary moves the slowest because it’s tied to internal bands. Sign-on bonuses, equity refresh, and starting RSU grants are more flexible. A $30K sign-on plus a $20K equity bump at signing can be easier to extract than a $15K base bump and is worth more on a four-year horizon.
If you’re early-career, the biggest lever is leveling. The difference between L3 and L4 at Google or Meta is $50-80K annual comp. Push for a higher level with a take-home project or system design loop, not just base.
Cost of living and take-home reality
NYC’s COL index of 172.3 means a typical basket of expenses costs about 72% more than the national average. Rent dominates: a one-bedroom in Manhattan runs $3,800-4,800; in Brooklyn or Long Island City, $2,800-3,800. State and city income tax stack on top of federal, taking total marginal rates past 45% at the top of the DS band.
A $260K NYC base translates to roughly $158K take-home after federal, state, and city taxes (single filer, no other deductions). The same $260K in Austin (no state income tax) clears about $188K take-home. That $30K delta is real, but big tech NYC equity grants and quant fund bonuses still tip the math back toward New York for most senior DS roles.
The practical advice: if you’re optimizing for take-home and quality of life, NYC makes sense at the top of the comp ladder — senior IC at big tech or mid-level DS at a quant fund. Below those tiers, Austin, Seattle (no state income tax), or remote roles with NYC-anchored bands can put more in your bank account.
Where to find current NYC data scientist comp data
Three sources to cross-reference before any negotiation:
- Levels.fyi — most accurate for big tech and quant. Filter by location (New York City Area) and seniority. The company-specific pages (Two Sigma, Google, Citadel) show level-by-level comp ranges with verified offers.
- BLS OEWS — the May 2024 release covers the NY-Newark-Jersey City metro at SOC 15-2051. Base salary only, but the percentile breakdown is the most reliable distributional data available.
- Glassdoor and Blind — useful for company-specific bonus expectations and culture context. Blind comp threads for NYC quant funds are particularly valuable since base + bonus splits aren’t published anywhere else.
Track every NYC data scientist offer you get against these benchmarks. Companies that pay below the 25th percentile of the BLS distribution for the role should require a strong non-comp reason (mission fit, learning, future equity story) before you accept.