Data scientist - Agentic AI
Hewlett Packard Enterprise
San Jose, CA · Posted September 25, 2026
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Where San Jose, CA ranks
Where San Jose, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for marketing pay after cost of living$204k · of 16
- #1Best cities for aerospace and defense pay after cost of living$187k · of 19
- #2Best cities for security pay after cost of living$220k · of 10
- #3Best cities for technology pay after cost of living$205k · of 80
- #5Best cities for technology jobs1,449 openings · of 100
- #5Cities with the most jobs that do not need a four-year degree in the West Coast162 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 176 open data scientist listings that state pay, the middle half runs $127,000 to $183,000 and the median is $151,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
We are looking for a Data Scientist – Agentic AI to design and implement agentic workflows powering Marvis and Juniper’s AI assistant for network operations. You will develop and optimize LLM-based agentic frameworks, collaborate with domain experts, and ensure reliable AI systems. Ideal for candidates with strong hands-on experience in generative AI and production ML/AI systems.