Data Scientist Salary in Seattle — 2026 BLS Data
Salary distribution
Percentile breakdown of Data Scientist base salaries in Seattle.
What the Seattle median actually says
The $185K median in the box above is base salary, pulled from the Bureau of Labor Statistics OEWS release (May 2024, SOC 15-2051) for the Seattle-Tacoma-Bellevue metro. It is the cleanest public number you will find for data scientist salary Seattle, but it is base only — no RSUs, no signing, no annual bonus. For Amazon and Microsoft data scientists, equity is routinely 35-55% of total comp, which means BLS undercounts what a tenured DS at the big two actually clears by a wide margin. The 90th percentile of $370K is the line where you stop seeing L5 offers and start seeing L6 Senior bands. The 25th percentile of $140K maps roughly to an L4 entry-level Amazon DS base before equity, or a mid-stage startup DS hire in South Lake Union.
How Seattle DS salaries compare
Seattle has effectively pulled even with the Bay Area on data science compensation, and after Washington’s tax math is applied it usually comes out ahead. Levels.fyi pegs the Seattle-area data scientist median total comp at roughly $232K, with Amazon’s Seattle DS ladder median around $324K and Microsoft’s Seattle DS median at $232K. Senior Data Scientists at Microsoft Seattle clear $240K median; Principal sits at $329K median. That puts the BLS base median (~$185K) within 8-12% of San Francisco’s bands, but Washington has no state income tax versus California’s 9.3%-13.3% top bracket, which closes the gap entirely for anyone past their third year.
New York City pays Seattle-equivalent base bands for L5/L6 DS roles at Amazon, Meta, and the banks, but the cost-of-living index sits in the 180s and state-plus-city tax stacks to roughly 10% on marginal income. Austin trails Seattle DS medians by 22-28% across every level; cost-of-living math (Austin around 119) makes it competitive on net take-home only at entry level. Remote-US bands at public companies generally peg DS roles to a national tier 2 zone — typically 10-20% below Seattle base for the same level, with equity grant unchanged. The practical read: a Seattle DS offer from Amazon, Microsoft, or Meta is rarely worse than the equivalent SF offer on net comp, and is usually meaningfully better.
What drives the spread in Seattle
The $140K-to-$370K spread between P25 and P90 is wider than it looks because Seattle’s DS labor market is genuinely bimodal. On one end are Amazon, Microsoft, and Meta DSes on tight banded ladders with predictable progression: L4 ($185K TC), L5 ($225K-$260K TC), L6 Senior (~$336K-$400K TC), L7 Principal ($567K+ median at Amazon). On the other end are pre-IPO and mid-stage companies — Smartsheet, Outreach, Highspot, Remitly, Zillow, Expedia — paying $150K-$175K base with equity that ranges from real (Zillow, Expedia) to paper-only. The BLS percentiles average both populations and obscure the bimodality.
Inside Big Tech the level matters more than the company name. An Amazon L5 Data Scientist in Seattle lands roughly $216K-$429K total comp depending on stock performance and tenure, with a center around $260K-$280K. An Amazon L6 DS routinely clears $274K-$612K TC, with the median in the mid-$300s and a long right tail. Microsoft’s Senior DS (L64-L65) lands in the same zone, though base runs higher and stock refreshers are more even and predictable. Meta Seattle pays at the top of the local market for DS-Analytics and DS-Product roles, often 10-15% above Amazon for the same scope. Startups in the $50M-$200M ARR band — typical for Seattle’s mid-stage scene — pay 15-30% below Amazon TC at the same level, sometimes with meaningful equity upside if the cap table reads cleanly.
Total comp at Amazon and Microsoft
Amazon’s structure is the single biggest reason published Seattle DS numbers look strange. Amazon raised its base salary cap to $350K in 2022, and the cap applies to data scientists just as it does to engineers. The detail that matters more is the RSU vesting curve: 5% in year one, 15% in year two, 40% in year three, 40% in year four. Eighty percent of an Amazon DS equity grant arrives in the final two years of the four-year vest. To plug the cash gap, recruiters issue a two-year signing bonus paid monthly — year-one sign bridges the difference between target TC and what actually vests in year one, year-two sign does the same for year two.
The practical translation: an Amazon offer that reads “$280K target TC for L5 DS” really means roughly $175K base + a four-year RSU grant worth $400K at signing + ~$85K year-one sign + ~$50K year-two sign. The stated TC only equals $280K in years three and four, and only if AMZN stays flat. If the stock drops 20%, year three and year four arrive 10-15% under target with no make-whole. If it rips 30%, you can clear $330K+ on a $280K stated offer. Quarterly vesting (added with the 2022 changes) and the optional RSU-to-cash pilot smooth this out at the margins, but the backloading still dominates the math.
Microsoft is the opposite philosophy on every axis. Base for Senior DS often clears $200K, the annual bonus pays out at target in most years, and stock vests evenly over four or five years. Stock refresher grants are an actual line item every annual review cycle, not the once-every-three-years event Amazon ICs deal with. Data scientists weighing an Amazon L5 against a Microsoft Senior DS offer should price both on a five-year integrated cash flow, not on the headline TC number — Microsoft typically wins years one and two by a wide margin, Amazon catches up in year three if the stock cooperates.
COL-adjusted comparison
Seattle’s cost-of-living index sits around 148-150 — meaningfully above the U.S. average but comfortably below San Francisco (178+) and Manhattan (180+). Washington’s lack of a state income tax is the line item that flips most cross-city offer comparisons for data scientists. On a $260K total comp Microsoft DS offer in Seattle, the only income tax bite is federal. The same offer in San Jose loses roughly 9.3% of marginal income to the California Franchise Tax Board, which works out to roughly $20K-$24K per year for a mid-career DS. Over a four-year stint at Amazon or Microsoft, that gap covers a starter house down payment in Bothell or Renton.
The flip side worth pricing: Seattle property taxes and Washington’s sales tax run higher than California’s, and rent inside the city limits has been climbing since 2024. The Washington capital gains tax, in effect since 2022, takes 7% on long-term gains above the threshold and now applies cleanly to RSU sales for high-earning DSes — though only above a $270K annual gains exemption, so most ICs never pay it on routine vests. Net of every line item, a Seattle DS offer at the same nominal TC as San Francisco generally leaves 7-9% more in your pocket each year.
Negotiation playbook for Seattle DS offers
Three things to actually do when you are sitting on a Seattle data scientist offer:
- Ask for the four-year TC schedule, not the target TC. If the recruiter quotes “$300K target,” ask them to break out year one, year two, year three, year four — base plus vesting plus sign-on. At Amazon this exposes the year-three cliff and gives a concrete number to negotiate against. At Microsoft it surfaces the refresh assumption baked into the offer model.
- Negotiate the equity grant before touching base. Base is band-locked at every FAANG-tier employer in Seattle, and recruiters have almost no discretion above the level midpoint. RSU grant size has 20-40% recruiter flex, especially with a competing written offer. Sign-on bonuses sit between those two — some flex, but capped by policy.
- Use a competing FAANG or Microsoft offer, not a startup offer. Amazon DS recruiters benchmark against Microsoft, Meta, Google, and increasingly Anthropic and OpenAI. A Smartsheet or Outreach offer rarely moves the needle even if the TC is comparable, because the equity is illiquid and the level mapping is fuzzy. With no competing offer, screenshots from Levels.fyi for the same level and city are an acceptable substitute and most recruiters know it.
The data scientist title at the big Seattle employers also carries genuine scope ambiguity — Amazon’s “Data Scientist” ladder, “Applied Scientist” ladder, and “Research Scientist” ladder all overlap in practice but pay differently (Applied Scientists clear meaningfully more at L5 and above). Before accepting a Seattle DS offer, ask which internal ladder the role is on and what the band midpoint is. The answer is the difference between $260K and $340K at the same headline level.