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data scientist Salary in westlake village

Based on 18 active job postings in westlake village  ·  Updated 2026

Min Salary
$214,000
per year
Average Salary
$214,000
per year
Max Salary
$214,000
per year
Jobs Found
18
active listings

✨ AI Compensation Insight SALARY INSIGHTS

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

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Open data scientist Jobs in westlake village 18

Senior Data Scientist / Machine Learning Engineer (NLP)
TryApplyNow Calabasas, California
$214000 / per year Full Time
Senior Data Scientist / Machine Learning Engineer, NLP - 1635
aKube Calabasas, California
$176800 / per year Full Time
Senior NLP Data Scientist & ML Engineer (Contract)
TryApplyNow Calabasas, California
Full Time
CD&A Data Scientist, Obesity - Senior Associate
Amgen Thousand Oaks, California
Full Time
Senior CD&A Data Scientist — Obesity (Hybrid/On-Site)
BioSpace Thousand Oaks, California
Full Time
Senior NLP Data Scientist - Hybrid/Remote, Classification
aKube Calabasas, California Remote
Full Time
Data Scientist - Thousand Oaks CA
VetJobs and Military Spouse Jobs Newbury Park, California
Full Time
Senior Data Scientist / Machine Learning Engineer, NLP
aKube, Inc. Calabasas, California
Full Time
CD&A Data Scientist, Obesity - Senior Associate
Amgen SA Thousand Oaks, California
Full Time
Sr. Data Scientist
Amgen Thousand Oaks, California
Full Time
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data scientist Salary FAQ

What is the average data scientist salary in westlake village?
Based on 1 recent job postings, the average annual salary for a data scientist in westlake village is approximately $214,000, with a range of $214,000 – $214,000.
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 westlake village?
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.