Data Jobs in Menlo Park
6+ live Data jobs in Menlo Park, refreshed daily. See your AI match score, salary fairness and the exact skills you need on every role — then apply in one click, free.
Live Data jobs in Menlo Park
Staff Data Scientist, Finance
Snowflake
Remote · Menlo Park, California, United States
Senior Data Scientist, Product
Robinhood
Menlo Park, CA, United States
Staff Data Scientist, ML (Credit Risk)
Robinhood
Menlo Park, CA; New York, United States
Senior Data Scientist
Snowflake
Remote · Menlo Park, California, United States
Senior Data Scientist - Product
Snowflake
Menlo Park, California, United States
Senior Software Engineer, Data Engineering
Robinhood
Menlo Park, CA, United States
Keep exploring
Data jobs in other cities
Data jobs in Menlo Park — FAQs
How many Data jobs are available in Menlo Park?
OnJob.io lists 6+ live Data jobs in Menlo Park right now, refreshed daily. Create a free profile to see your AI match score on every Data opening in Menlo Park before you apply.
What salary can a Data expect in Menlo Park?
6 of these Data roles in Menlo Park publish a salary — ranges such as $184k–$265k, $179k–$210k, $217k–$255k are live right now.
How do I apply to Data jobs in Menlo Park?
Browse and search Data jobs in Menlo Park free with no account. A free OnJob profile adds AI match scores, salary-fairness verdicts and one-click apply, so you can apply to Data roles in Menlo Park in seconds.
Land a Data role in Menlo Park faster
Create a free profile to see your exact match score, salary fairness and missing skills on every Data job in Menlo Park.
Create my free profileQuick answer: how do I get a Data job in Menlo Park?
Match your resume to the wording each posting uses, apply within the first 48 hours, and keep the list short rather than broad. Screening software matches on exact skill terms, so echoing the job description truthfully is what clears the first gate. Check your match score on the roles above before you spend time on an application.
Where do these Menlo Park listings come from?
Listings are pulled from employers' applicant-tracking systems rather than typed in by hand or bought from an aggregator, and they leave this page when the employer closes the role. That is why the count moves between refreshes instead of sitting at a round marketing number.