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data scientist Salary in mccleary

Based on 11 active job postings in mccleary  ·  Updated 2026

Min Salary
$113,000
per year
Average Salary
$225,400
per year
Max Salary
$314,000
per year
Jobs Found
11
active listings

✨ AI Compensation Insight SALARY INSIGHTS

Generating real-time market insights and estimated salary range for data scientist in mccleary...

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Open data scientist Jobs in mccleary 11

Data Scientist, Instagram (Technical Leadership)
META Olympia, Washington
$314000 / per year Full Time
Data Scientist, Analytics (Technical Leadership)
META Olympia, Washington
$281000 / per year Full Time
Senior Data Scientist
Norstella Olympia, Washington Remote
$215000 / per year Full Time
Data Scientist, Product Analytics
Meta Olympia, Washington
$204000 / per year Full Time
Healthcare Data Scientist - Remote AI Analytics
Help at Home Olympia, Washington Remote
$113000 / per year Full Time
Senior Data Scientist, Prior Authorization Analytics Lead
Washington State Health Care Authority Olympia, Washington
Full Time
Data Scientist – GIS & Policy Analytics (Hybrid)
Washington State Department of Transportation Olympia, Washington
Full Time
Senior Principal Data Scientist: AI-Driven Product Platform
Autodesk Olympia, Washington
Full Time
Health Data Scientist — Reproductive Health Analytics
State of Washington Olympia, Washington
Full Time
Data Scientist - Senior Manager- Consulting - Location OPEN
Ernst & Young Oman Olympia, Washington
Full Time

data scientist Salary FAQ

What is the average data scientist salary in mccleary?
Based on 5 recent job postings, the average annual salary for a data scientist in mccleary is approximately $225,400, with a range of $113,000 – $314,000.
How do I negotiate my data scientist salary?
Research comparable roles in your area, document your accomplishments, and arrive at negotiations with data. Use total compensation (base + bonus + equity + benefits) as your benchmark, not just base pay.
What factors affect data scientist compensation in mccleary?
Key factors include years of experience, technical certifications, company size (startup vs. enterprise), industry (tech vs. finance vs. healthcare), and whether the role is remote-first or on-site in a high cost-of-living metro.