Salario de Científico de Datos en Washington (2026)
El salario promedio de un Científico de Datos en Washington es de $150,000/año. Después de impuestos, tu sueldo neto estimado es de $113,791/año ($9,483/mes).✓ Sin impuesto estatal
Desglose del Sueldo Neto
| Categoría | Cantidad |
|---|---|
Sueldo Neto Anual | $113,791 |
Sueldo Neto Mensual | $9,483 |
Sueldo Neto Quincenal | $4,377 |
Sueldo Neto por Hora basado en 2,080 hrs/año | $55/hr |
Impuesto Federal | $24,734 |
Impuesto Estatal | $0 |
Impuestos FICA | $11,475 |
Tasa Efectiva de Impuesto impuestos totales ÷ salario bruto | 24.14% |
¿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 Washington
No todas las Científico de Datoss ganan lo mismo — ni de cerca
Washington's data science market is anchored by two of the largest data-producing companies on earth. Amazon's retail, AWS, and advertising businesses generate volumes of data that almost no other employer can match. Microsoft's combined Azure, GitHub, LinkedIn, and Bing data assets create a similarly massive surface for DS work. The result is a deep, stable market with comp that — after taxes — is often the most favorable in the country.
Principal / Senior Principal DS
$280,000–$450,000
Amazon L7+ / Microsoft Principal DS; RSU-heavy
Applied Scientist (Senior)
$220,000–$380,000
Amazon and Microsoft Applied Scientist tracks pay aggressively
ML Engineer (Senior)
$200,000–$340,000
AWS ML and Azure AI teams driving demand
Senior Data Scientist
$170,000–$270,000
Product DS across Amazon retail, ads, Prime; Microsoft 365
Data Scientist (Mid-Level)
$140,000–$210,000
Amazon L5 DS / Microsoft 62 benchmark range
Data Engineer
$140,000–$235,000
AWS Glue, Azure Synapse experience commands premiums
Analytics Engineer
$125,000–$195,000
Strong demand at Microsoft Office data team and Amazon ads
Research Scientist (AI)
$250,000–$500,000+
Microsoft Research and AWS AI Labs; PhD typical
Junior / New Grad DS
$120,000–$175,000
Amazon and Microsoft both run large new-grad pipelines
Quant Researcher (Local Funds)
$200,000–$400,000
Smaller market than NYC but established firms exist
Vale la pena saber: Amazon vs. Microsoft is the defining choice for Seattle DS careers. Amazon front-loads grants over four years (and uses sign-on bonuses to smooth the curve), while Microsoft offers steadier annual stock refreshes. The choice affects total comp trajectory significantly past year three.
The Seattle data science market in 2025
0%
Washington state income tax rate
$380k+
Senior Applied Scientist total comp at Amazon/Microsoft
~25k
estimated DS / Applied Scientist roles in Seattle metro
Seattle's DS market never had the same boom-bust intensity as the Bay Area. Amazon and Microsoft both hire data scientists steadily across cycles, and that stability shows in the market — Seattle DS unemployment is consistently low, and senior IC openings rarely sit unfilled for long.
The Applied Scientist role is the local specialty worth understanding. Both Amazon and Microsoft have a distinct 'Applied Scientist' track that sits between traditional DS and ML research — production model development with research-grade rigor. Comp is closer to ML engineering than to product DS, and the role is one of the strongest paid in the region.
Amazon's culture is the persistent caveat. The Leadership Principles, the high bar for promotion documents, and the operational metrics culture create a working environment that some DS hires thrive in and others find exhausting. The PIP rate at Amazon is genuinely higher than at peer companies — go in informed.
Washington's 0% state income tax is concrete and persistent. A senior DS earning $250,000 total comp keeps roughly $20,000–$28,000 more annually than the equivalent role in California — every year, compounding.
Washington for data scientists — what the trade-off looks like
Seattle is genuinely beautiful and the outdoor culture is real — but the gray winter is also real. October through March, the weather is persistent overcast and drizzle. For some DS hires that becomes a serious lifestyle consideration; for others it fades into background noise.
Housing is expensive but more reasonable than the Bay Area. A senior DS at Amazon or Microsoft can realistically buy a house in Bellevue or Kirkland on one income — that math doesn't work in San Francisco proper.
The scope of the AI/ML community in Seattle is narrower than the Bay Area. There are fewer informal AI labs, fewer Friday-evening paper reading groups, less density of researchers across companies. Researchers wanting that environment occasionally feel the gap.
How Washington taxes work for data scientists (and how to keep more)
WA 0% state income tax on wages + vesting income. A $300K Amazon SDE3 / Microsoft 64+ data scientist nets ~$220K post-tax (federal + only) vs ~$200K equivalent in CA — $20K/year delta. At $500K staff DS with significant RSU vesting, $35K-$50K/year delta. Over 25-year career, $500K-$1.2M cumulative state tax savings vs CA peer.
WA 7% capital gains tax above $270K /year wrinkle — applies ONLY to long-term capital gains realized in a calendar year above the threshold. Critically: vesting is ordinary income (not LTCG), so doesn't trigger the 7% tax. Selling vested RSUs immediately = $0 gain, no WA cap gains tax. Holding RSUs beyond 12 months and selling appreciated shares = LTCG; if cumulative LTCG exceeds $270K in single year, 7% applies to slice above threshold.
sell-on-vest discipline avoids WA 7% cap gains entirely. Sell vested RSUs immediately = $0 capital gains exposure. This is the structural recommendation for senior WA DS at Amazon / Microsoft / Meta Bellevue. Holding hopes for appreciation but adds concentration risk + creates WA cap gains tax exposure if sale year goes above $270K.
() at Amazon, Microsoft, Meta Bellevue, Google Kirkland is THE move. All major Seattle / Eastside tech employers offer plans with after-tax contributions + in-plan Roth conversion. $47.5K/year of after-tax 401(k) → Roth ABOVE the regular $24,500 limit. Over 25-year career at FAANG, $700K-$1.2M of tax-free retirement assets just from MBR.
at Amazon (5% discount + 6-month lookback as of 2024 changes), Microsoft (10% discount + lookback), Meta — yields modest-to-strong effective return per cycle. Worth maxing.
Backdoor Roth IRA $7,500/year. Phase-out kicks in at $146K/$236K modified ; staff+ DS exceeds. Backdoor (contribute non-deductible to Traditional, immediately convert to Roth) bypasses limit.
if eligible ($4,400 single / $8,750 family). Triple-tax-advantaged. Pay medical out-of-pocket; let HSA grow as stealth retirement bucket.
WA property tax 0.8-1.0% effective (King County) — among lowest in major US tech metros. On $1.5M Bellevue staff DS home: $12K-$15K/year. Meaningfully better than TX (2-2.5%) or NJ (2.21%) or NY Long Island (2-2.5%) at equivalent home prices.
Vancouver WA cross-river OR shopping arbitrage — saves 10.1% sales tax on big purchases (durable goods, vehicles, furniture). Live WA, shop OR (15-25 min from Vancouver to Portland). Saves $1,500-$3,000/year for households with substantial consumption. Catch: working in OR triggers OR's 9.9% income tax on most wages above $125K — strategy works only if WA-employed remote.
- →Max at Amazon / Microsoft / Meta Bellevue / Google Kirkland — $47.5K/year. $700K-$1.2M tax-free retirement assets over career.
- → sell-on-vest discipline — eliminates WA 7% cap gains exposure entirely + reduces concentration risk.
- →WA cap gains planning if you also own investment property — track by year, time sales below $270K threshold per calendar year. $500K LTCG split across 2 years = $0 WA cap gains; same $500K in 1 year = $16,100 WA tax.
- →Backdoor Roth IRA $7K/year — bypasses phase-out at staff+ comp.
- → max + don't spend — triple-tax-advantaged stealth retirement bucket.
- → at Amazon / Microsoft — moderate guaranteed return. Worth maxing.
- →Property tax appeal — King / Snohomish / Pierce counties have appeal processes. Saves $300-$1,500/year on $1M-$2M homes.
- →Vancouver WA cross-river OR shopping arbitrage — saves 10.1% sales tax on big-ticket purchases.
Three WA DS submarkets — what each one looks like
Eastside Bellevue (Microsoft / Meta / Google) vs Seattle (Amazon / Convoy / smaller startups) vs Vancouver WA cross-river arbitrage are three different WA DS career paths.
Eastside (Bellevue / Redmond / Kirkland — Microsoft / Meta / Google)
Total comp $200K-$450K · staff+ $400K-$700K · Microsoft 65+ / Meta E5+ tierMicrosoft Redmond campus (180K+ employees globally, ~50K Eastside), Meta Bellevue (post-2020 expansion), Google Kirkland (~3K), Amazon Bellevue HQ2 (50K+ Eastside as of 2024). + + Backdoor Roth + stack at all major employers. Workforce housing in Bellevue / Kirkland / Redmond / Sammamish ($1.2M-$2.5M family homes).
Eastside DS are structural Microsoft / Meta / Google product DS market. Meta Bellevue post-2020 expansion drove sustained DS hiring. access at all major employers + 0% WA state tax = top US DS wealth-building structure.
Seattle (Amazon HQ / Convoy / DocuSign / Smaller AI Startups)
Total comp $200K-$420K · Amazon SDE3+ / Senior PM tier $300K-$500KAmazon HQ South Lake Union (~50K Seattle), Convoy, DocuSign, Tableau (now Salesforce), F5 Networks, Highspot, Outreach, smaller AI / ML startups. Amazon's data scale is genuinely massive — retail / AWS / advertising data assets unmatched. Workforce housing in Capitol Hill / South Lake Union / Ballard / Wallingford / Queen Anne ($1.5M-$3M).
Amazon DS is structural — Amazon's data volume is genuinely massive. Career path within Amazon (L4 → L5 → L6 → L7) creates strong long-term wealth. is more limited than Microsoft's but + base + signing bonus structure compensates.
Vancouver WA Cross-River Arbitrage (Live WA / Work Remote)
Total comp varies · DS remote $180K-$400KVancouver, Camas, Washougal — Clark County. Live WA (0% income tax) + 15-25 min to Portland (no sales tax for big purchases). Strategy works if WA-employed remote; OR-employed wage income triggers OR 9.9% tax. Workforce housing $500K-$900K — meaningfully cheaper than Seattle / Eastside.
Vancouver WA cross-river is unique tax-arbitrage geography. Strategic for fully-remote WA-employed senior DS who want strong COL economics + tax optimization without Seattle housing premium.
The career arc — from Amazon SDE2 to staff+ to early retirement
Year 1-3 (Junior / New Grad DS / Amazon L4 / MSFT 60-62): $130K-$200K total comp. PhD new grads at higher tier. Building SQL + Python + ML fundamentals + Amazon-style frugal customer-obsession leadership principles. + Backdoor Roth + from year 1.
Year 3-7 (Mid-Level / Senior DS / Amazon L5 / MSFT 63): $220K-$380K total comp. Senior level at Amazon / Microsoft. Specialty pursuit common — ML engineering vs product DS vs research scientist track. vesting accelerates.
Year 7-15 (Staff / Principal DS / Amazon L6 / MSFT 64-65): $300K-$550K total comp. Staff at Amazon / Principal at Microsoft. -heavy. Side-business / consulting / advisory roles common.
Year 15+ (Senior Principal / Distinguished / Amazon L7+ / MSFT 67+): $500K-$1.5M+ total comp. Top tier. Amazon L7+ / MSFT 67+ packages. Sometimes founder track via AWS / Microsoft Ventures spinoff.
FIRE (Financial Independence Retire Early) at WA tech is accessible. Senior DS at Amazon / Microsoft earning $500K-$1M with disciplined + + Backdoor Roth + sell-on-vest + 0% WA state tax can accumulate $4M-$8M by age 45-50. Many WA DS plan early retirement / sabbatical / advisory work in their late 40s. No retirement-relocation needed — WA is already 0% state tax on wages AND retirement income. Some WA DS retire to mountain towns (Leavenworth, Bend OR), or stay in Eastside / Seattle through retirement.
Where Seattle data scientists actually live
Seattle DS residential geography mirrors software engineer patterns: the Eastside (Bellevue/Redmond/Kirkland) for Microsoft and Amazon Eastside, and Seattle proper (Capitol Hill, South Lake Union, Ballard) for Amazon HQ. The water and the SR-520/I-90 bridges still define commute reality.
Bellevue / Kirkland
Eastside hub · Microsoft, Amazon Bellevue · excellent schools · expensive but family-oriented
Redmond
Microsoft HQ adjacent · suburban · car-dependent · lower density than Bellevue
Capitol Hill / South Lake Union
Walkable urban Seattle · close to Amazon HQ · younger DS demographic
Ballard / Phinney Ridge
NW Seattle · family-friendly · slower commute to Eastside
Issaquah / Sammamish
Eastside outer ring · top-rated schools · longer commute · more space
Renton
South of Bellevue · meaningfully more affordable · 25–35 min to Microsoft
Light rail expansion has improved the Eastside-to-Seattle commute meaningfully. East Link service to Bellevue and Redmond is now operational and pulls some former drivers onto transit.
¿Es la decisión correcta?
Washington for data scientists — the bottom line
A tu favor
- +No state income tax — and permanent comp advantage versus California
- +Amazon and Microsoft provide stable, deep DS careers across cycles
- +Applied Scientist career track is well-defined and well-compensated
- +Housing more accessible than the Bay Area at equivalent income levels
- +Outdoor and natural environment is genuinely exceptional
- +Lower burnout intensity than top Bay Area companies (Amazon excepted)
Vale la pena saber antes de firmar
- −October–March gray weather affects quality of life meaningfully for some
- −AI/ML research community narrower than the Bay Area or NYC
- −Amazon culture is famously demanding — PIP rate above peer companies
- −Eastside is car-dependent — daily commute is a reality
- −Two-employer concentration (Amazon + Microsoft) is the local job-market risk
- −Seattle housing has risen sharply due to tech-worker concentration
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