Jobs / Data Scientist / San Jose, CA
Data Scientist Jobs in San Jose
17 open roles in San Jose, CA.
Latest Data Scientist jobs in San Jose
Associate Fraud Strategy Data Scientist
15 days agoSenior Associate, Data Scientist - NLP
17 days agoSenior Associate, Data Scientist - NLP
17 days agoSenior Credit Strategy Data Scientist
about 1 month agoStaff Data Scientist
about 1 month agoSenior Associate, Data Scientist - AI Software Engineering
about 2 months agoPrincipal Data Scientist, Risk & AI
about 2 months agoSr/Principal Data Scientist, Risk Strategy
about 2 months agoData Scientist Marketing
about 2 months agoData Scientist
about 2 months agoSr Data Scientist
about 2 months agoData Scientist V – Ranking & Machine Learning
about 2 months agoSenior Engineer, Data Scientist
about 2 months agoSr Data Scientist
about 2 months agoStaff Data Scientist
about 2 months agoData Scientist II
about 2 months agoData Scientist 1
about 2 months agoMarket overview
San Jose's Data Scientist market features 17 active openings, with a median midpoint salary of $178,175, reflecting steady demand in a tech-centric hub where roles emphasize analytical rigor and innovation. This compact yet robust landscape signals targeted growth, particularly among fintech and software leaders driving data-driven decisions. PayPal leads with five openings, underscoring its push for advanced analytics in payments and risk management, while Capital One follows with three, highlighting opportunities in financial modeling and consumer insights. Adobe, with one posting, rounds out key players, pointing to creative tech's need for data integration in product development. These employers' activity indicates a preference for versatile professionals who can bridge technical execution with business impact, favoring those with proven expertise over generalists. Postings repeatedly demand SQL, Python, and machine learning skills, alongside data analysis and statistical analysis, which means applicants must demonstrate hands-on application of these tools to stand out—roles prioritize candidates who can query large datasets, build predictive models, and derive actionable insights from complex information. For success in this market, customize your application by quantifying achievements with specific Python or machine learning projects, such as improving model accuracy by a measurable percentage, to align directly with the technical depth employers seek and accelerate your interview pipeline.
Top hiring employers
- PayPal5 open roles
- Capital One3 open roles
- billcom2 open roles
- okx2 open roles
- Adobe1 open roles
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