Manager, Data Scientist - Recommendation & Personalization Systems
New
We sent a six-digit code to . Enter it below — or use the link in the same email.
Or click the link in the same email — either works.
Enter the email address on your account and we'll send you a link to set a new password.
Remembered it? Sign In
Looking for a data scientist job in San Jose? Choose from 29 open roles at 7 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
Free. No credit card needed.
In the week to 27 September, 17 data scientist roles were open in San Jose at 6 employers. 3 new roles were posted during the week. Of the roles that say how they work, 47% are remote or hybrid.
Among the data scientist roles listed on the board for San Jose, the openings skew heavily towards more experienced and senior profiles. Managers account for the largest share, followed by senior individual contributors, with a smaller proportion of intern-level postings and a modest slice at director level. The vast majority of current listings were posted within the last week, suggesting the pool refreshes quickly and competition for fresh postings can be brisk. Hiring appears concentrated among a small number of employers, with nearly all listed roles sitting with the five largest hirers on the board. There is not yet enough weekly history to describe any directional trend in overall posting volume.
Figures are measured every Monday.
Data scientists work across the full cycle of extracting value from data: framing business questions, gathering and cleaning data, building statistical models, running experiments, and communicating findings to stakeholders. In a city that is home to the headquarters of companies such as Cisco, Adobe, and PayPal, as well as Samsung's Americas semiconductor research and development operation, much of this work sits within large product or engineering organisations. Data scientists here are likely to work alongside software engineers, product managers, and machine learning teams, contributing to product analytics, recommendation systems, fraud detection, or hardware telemetry depending on the employer's domain. San José State University's programmes in data science and computer science also mean the city has an established pipeline of graduate candidates entering the field.
Statistics is mentioned across all descriptions listed on the board, making it the most universally expected foundation. Python and SQL appear in most listings and are effectively baseline tools. A/B testing features in a majority of descriptions, reflecting how central experimentation is to product-led organisations. A graduate degree at master's or doctoral level is mentioned in a notable portion of listings. A smaller share of descriptions reference cloud platforms, large language models, and distributed data tools such as Spark.
Among the roles listed here that state a work mode, the split between on-site and hybrid is close, with on-site holding a slight majority and hybrid accounting for nearly half. No currently listed roles are described as fully remote. Candidates should expect most positions to involve regular attendance at an employer's San Jose office.
Jobs checked 15 minutes ago.
Search by role, company, or anything a posting mentions.
