Data & Analytics Jobs in Seattle
105 vacancies found, page 1 of 3
2 fresh vacancies found today
- Newest
- Highest salary
Open vacancies
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- Walmart
- Trupanion
- Writer
- Salesforce
- Salesforce
- Sonos
- GE Vernova
- Walmart
- Anthropic
Data Engineer, GTM Systems
$270,000 - 345,000 / year
- Hybrid · San Francisco, New York City +1
- Mid-Level
- Moloco
- NVIDIA
Senior Quantum AI Research Scientist, Applied Research
$192,000 - 304,750 / year
- Hybrid · Redmond, US
- Senior
- NVIDIA
Senior Research Scientist, System Software and I/O Architecture
$192,000 - 304,750 / year
- Office · US, Seattle
- Senior
- NVIDIA
Research Scientist, ML Systems - PhD New College Grad 2026
$168,000 - 264,500 / year
- Office · US, Austin +1
- Junior
- Snap
Software Engineer, ML Infrastructure, ML Data, Level 5
$209,000 - 313,000 / year
- Office · Palo Alto, Seattle +2
- Senior
- Capital Group
- Zoom
- Headway
Senior Manager, Data Science - Provider Growth Product
$212,000 - 265,000 / year
- Hybrid · New York City, San Francisco +1
- Lead & Manager
- OpenAI
- Anthropic
Data Science Tech Lead Manager, Model Experience
$380,000 - 460,000 / year
- Hybrid · New York City, San Francisco +1
- Lead & Manager
- Zoox
Machine Learning Engineer - Vision Foundation Models
$254,000 - 305,000 / year
- Hybrid · US, Boston +2
- Senior
- Anthropic
Tech Lead Manager, Core Apps Data Scientist
$460,000 / year
- Hybrid · New York City, San Francisco +1
- Lead & Manager
- Credit Acceptance
Machine Learning Engineer, Senior Manager
$221,225 - 309,716 / year
- Hybrid · San Francisco, Bellevue +1
- Senior
- Credit Acceptance
Staff Machine Learning Engineer, Platform (MLOPS)
$184,943 - 258,920 / year
- Hybrid · San Francisco, Bellevue +1
- Senior
- Credit Acceptance
- iSpot
- Headway
- Snap
Director, Machine Learning Engineer, Content
$334,000 - 500,000 / year
- Office · Palo Alto, San Francisco +3
- Lead & Manager
- Visa
- Metropolis
- Tanium
- Okta
- Warner Bros. Discovery
- Motive
- DoorDash USA
Staff Applied Scientist, Experimentation and Causal Inference
$193,800 - 285,000 / year
- Office · CA, San Francisco +2
- Senior
- Zoox
Senior/Staff Software Engineer, ML Training Optimization
$254,000 - 350,000 / year
- Office · US, Seattle
- Senior
- Headway
- Richemont
Business Performance & Data Analytics Project Manager
Salary by agreement
- Hybrid · Bellevue, Switzerland
- Mid-Level
- ServiceNow
Staff Machine Learning Engineer - VoIP Infrastructure
$176,100 - 308,200 / year
- Hybrid · Seattle
- Senior
- PitchBook Data
- PitchBook Data
- DoorDash USA
Software Engineer, ML Infrastructure (MDX)
$130,600 - 192,000 / year
- Office · San Francisco, Sunnyvale +1
- Junior
- Zscaler
Sr. Manager, People Data Infrastructure & Platforms
$172,000 - 215,000 / year
- Hybrid · Bellevue, US
- Lead & Manager
- Richemont
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For: Data & Analytics · Seattle
About Data & Analytics Jobs in Seattle
Roles that turn data into decisions: data analysts, data scientists, machine learning engineers and BI analysts. Every role on this page has an office in Seattle. We find them on company career pages and in the closed places where hiring teams post first, often before they reach the big job boards.
Right now there are 105 open roles here, 15 of them added in the last 7 days. The skills asked for most: Python, SQL, LLMs and PyTorch.
- open jobs
- 105
- new in the last 7 days
- 15
- typical yearly salary
- $161K to $265K
- fully remote
- 0
How many Data & Analytics Jobs in Seattle are open right now?
There are 105 open roles here, 15 added in the last 7 days. The list updates as we find new vacancies and closes the ones that are filled.
How much do Data & Analytics Jobs in Seattle pay?
On the open roles here that state a salary, the middle half pays between $161K and $265K a year, converted to US dollars. Each vacancy shows its own range in its currency.
Are there remote Data & Analytics Jobs in Seattle?
Not right now: every open role here asks for some time in an office. Each vacancy says where the office is.
What does Early Window mean?
7 of these roles were found in the last 48 hours, before they spread to the big job boards. Applying early means fewer people in line ahead of you.