550+ Data & Analytics Jobs in San Jose, CA

On directly measured local wages, BLS shows San Jose data scientists at a 2025 median of $185,080, with the 25th percentile at $149,570 and the 75th at $219,460. For a more research-heavy AI proxy, computer and information research scientists in the metro had a 2025 median of $218,420 and a 75th percentile of $270,170. As a directional current-market signal rather than an official wage estimate, local posted salary ranges center on about $160k to $247k, while mean offered salary on new California Data, Analytics & AI openings was about $140,208 in September 2026.

Full September 2026 market report

Advertised pay

Across the 496 openings that disclose pay, the advertised range midpoint runs $163,671 at the 25th percentile, $213,300 at the median and $249,625 at the 75th. These are advertised ranges, not earned pay.

Active openings as of October 17, 2026

Senior roles | Entry level | Remote | Posted this week

Live from the Callings.ai index of over 13 million postings, refreshed hourly and re-checked here nightly. Roles that close are dropped at the next refresh.

Showing 30 of 250+ openings.

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What our analysts see this month

Competitive market | next 3-6 months

San Jose is still a high-pay market for Data, Analytics & AI, but it is not an easy one. Metro unemployment was 4.3% in August 2026 and total nonfarm employment was up 1.5917% year-over-year, which points to a stable local economy rather than a broad slowdown. The harder part is role accessibility: Revelio Public Labor Statistics shows California Data, Analytics & AI postings up 38.2% year-over-year while employment in the field is essentially flat statewide, and local sampled demand skews senior with about 50% of postings at senior level and about 10% at entry level. For experienced candidates with current AI and ML skills, that is good enough to keep applying aggressively; for juniors and switchers, it is a more selective market than the salary headlines suggest.

Best positioned: The best odds right now go to candidates who can show production-grade Python, SQL, and machine learning work, especially if they also bring PyTorch or large-language-model experience and can work on-site or hybrid.

Main caution: Do not mistake San Jose's very high pay levels for broad accessibility: current local posted salary ranges are strong, but only about 5% of sampled postings were remote and the mix is heavily tilted toward experienced hires.

From the September 2026 market report

Who is hiring here

Counted across all 598 openings in this market. 10 of the employers below are hiring for more than one role right now.

1. Apple, Inc.: 47 open roles
2. TikTok USDS Joint Venture: 30 open roles
3. Google Inc: 25 open roles
4. TikTok Inc.: 25 open roles
5. Intuit, Inc.: 21 open roles
6. ServiceNow: 18 open roles
7. TikTok: 18 open roles
8. Meta Inc.: 12 open roles
9. SAP SE: 11 open roles
10. Bytedance: 10 open roles

Where the openings are

• San Jose: 138
• Mountain View: 88
• Sunnyvale: 75
• Palo Alto: 72
• Santa Clara: 62
• Cupertino: 46
• Menlo Park: 31
• Redwood City: 17

Work arrangement

on-site 392 (69%), hybrid 143 (25%), remote 31 (5%)

Where the demand is

Real opportunity is concentrated in employers that treat data work as product, research, or revenue infrastructure rather than as stand-alone reporting. In the sampled local postings, software development accounts for about 25%, technology about 20%, financial services about 15%, computer hardware development about 10%, and internet and web services about 10%. The most consistently active named employers over the last 90 days include Capital One Group, Dataroles, Apple, Inc., and Google Inc., and the sample looks fragmented rather than dominated by one employer. The skills mix shows why generic analyst positioning underperforms here. Python appears in about 85% of sampled postings, machine learning in about 40%, PyTorch in about 25%, SQL in about 45%, and large language models in about 15%, which points to applied modeling and AI implementation as the strongest center of gravity. Because about 65% of sampled roles are on-site and about 30% hybrid, local candidates who can commute have a wider target list than remote-only applicants.

• Applied AI and ML roles inside product and hardware companies (high): This is the strongest cluster, supported by local demand in software development, technology, computer hardware, and internet services, plus frequent requests for Python, machine learning, PyTorch, and large language models.
• Analytics inside financial services and decision teams (moderate): Financial services make up about 15% of sampled postings, and the skill mix still leans heavily on Python and SQL, which creates room for decision support, risk, and business analytics roles alongside pure ML work.
• Quantitative research-style niches (limited): These roles can pay very well, but they are narrower: the metro counted 2,210 computer and information research scientist jobs and 920 operations research analyst jobs in 2025, so this is a real but smaller lane.

Where to focus: Focus first on hybrid or on-site roles in product-heavy tech, hardware, and financial-services teams where you can show Python, SQL, and measurable modeling impact rather than generic reporting experience.

Roles worth searching next

• Product manager for data or AI-enabled products: A strong analytics background can translate well into roadmap, experimentation, and KPI ownership.
• Revenue operations or business operations manager: This is a practical bridge for candidates whose strength is measurement, forecasting, process design, and stakeholder influence.
• Growth marketing analyst: People with experimentation and funnel analysis skills can move into performance, lifecycle, or growth teams.
• AI governance or model risk manager: This is a strong adjacent path for candidates who understand analytics and want to lean into controls, policy, and responsible AI.

What postings ask for

• Python (table_stakes | immediate): Python shows up in about 85% of local sampled postings, making it the clearest baseline filter in this market. Who: Everyone in the category, especially entry-level and switching candidates who need to clear resume screens.
• SQL (table_stakes | immediate): SQL appears in about 45% of postings, so even AI-leaning candidates still need strong data extraction, metric logic, and data quality basics. Who: Analysts, data scientists, and career switchers coming from nontechnical functions.
• Machine learning (differentiator | immediate): Machine learning is named in about 40% of local postings, which separates San Jose's stronger roles from pure reporting work. Who: Mid-career analysts, data scientists, and switchers with enough math and coding depth to build and evaluate models.
• PyTorch (premium | near-term): PyTorch appears in about 25% of local sampled postings and lines up with the market's more specialized ML-heavy roles. Who: Candidates targeting applied AI, ML, or research-adjacent roles rather than general BI work.
• Large language models and prompt engineering (differentiator | immediate): Large language models appear in about 15% of local postings, and prompt engineering is now treated as a critical working skill for getting reliable output from these systems. Who: Data scientists, analytics engineers, and business analysts who want to stay relevant as AI-assisted analysis spreads.
• AWS certification (differentiator | near-term): AWS certification is explicitly required in less than 5% of local postings, so it is not a universal gate, but cloud fluency helps when model or data work has to move from notebook to production. Who: People aiming for ML-heavy roles or trying to move up from analyst work into more implementation-oriented jobs.

Questions about this market

What do Data, Analytics & AI roles pay in San Jose-Sunnyvale-Santa Clara, CA?

On directly measured local wages, BLS shows San Jose data scientists at a 2025 median of $185,080, with the 25th percentile at $149,570 and the 75th at $219,460. For a more research-heavy AI proxy, computer and information research scientists in the metro had a 2025 median of $218,420 and a 75th percentile of $270,170. As a directional current-market signal rather than an official wage estimate, local posted salary ranges center on about $160k to $247k, while mean offered salary on new California Data, Analytics & AI openings was about $140,208 in September 2026. This is elite pay by national standards: the local data scientist median is far above the national data scientist median of $120,230, which is why San Jose remains attractive even when hiring is selective.

Where is demand for Data, Analytics & AI roles in San Jose-Sunnyvale-Santa Clara, CA concentrated?

Real opportunity is concentrated in employers that treat data work as product, research, or revenue infrastructure rather than as stand-alone reporting. In the sampled local postings, software development accounts for about 25%, technology about 20%, financial services about 15%, computer hardware development about 10%, and internet and web services about 10%. The most consistently active named employers over the last 90 days include Capital One Group, Dataroles, Apple, Inc., and Google Inc., and the sample looks fragmented rather than dominated by one employer. The skills mix shows why generic analyst positioning underperforms here. Python appears in about 85% of sampled postings, machine learning in about 40%, PyTorch in about 25%, SQL in about 45%, and large language models in about 15%, which points to applied modeling and AI implementation as the strongest center of gravity. Because about 65% of sampled roles are on-site and about 30% hybrid, local candidates who can commute have a wider target list than remote-only applicants.

Which employers are hiring the most Data, Analytics & AI talent in San Jose-Sunnyvale-Santa Clara, CA?

Recent postings show the most activity from Capital One Group (30 postings), Dataroles (20 postings), Apple, Inc. (20 postings), Google Inc (20 postings). See the full market report for the complete employer landscape.

Can Data, Analytics & AI roles in San Jose-Sunnyvale-Santa Clara, CA be done remotely?

Of recent postings, 5% are remote and 30% hybrid, with 65% on-site. Use the Remote filter above to see only remote openings.

How current are these listings?

Openings come from the Callings.ai live index of over 13 million jobs, refreshed hourly. This page searches postings from the last 30 days; run the search yourself to filter by anything else in plain language.

Browse California openings by job title

• Software Engineer: 1,155 open roles statewide
• Product Manager: 412 open roles statewide
• Project Manager: 407 open roles statewide
• General Manager: 403 open roles statewide
• Program Manager: 340 open roles statewide
• Technical Program Manager: 327 open roles statewide
• Senior Software Engineer: 266 open roles statewide
• Staff Software Engineer: 225 open roles statewide
• Engineering Manager: 170 open roles statewide
• Senior Manager: 144 open roles statewide
• Senior Product Manager: 119 open roles statewide
• Associate Director: 105 open roles statewide

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