Palo Alto, CA

Senior Data Scientist - Manufacturing Data (US)

Salary: unknownHybridSeniorNon-software engineering and technicians

Original posting ↗Apply ↗Company job board ↗

Gauss Labs, a software company in AI and data, has an open position for Senior Data Scientist - Manufacturing Data (US). It is a hybrid position in Palo Alto, United States. We classify it as a senior-level role in non-software engineering and technicians. Candidates need 3+ years of experience. A university degree is required. There are 5 open positions from Gauss Labs on this site, 1 of them in IT and engineering.

Posted 29 days ago · Last checked 2026-10-31

About Gauss Labs

AI and data Software product company 5 open positions, 20% in IT and engineering. Most open roles: Non-software engineering and technicians (3), People / HR / recruiting (1), Software engineering (general) (1).

All open jobs at Gauss Labs →

Similar jobs

Senior Robotics Software EngineerClera · San FranciscoUSD 185K–235K / year Electrical Test EngineerAnduril Industries · Fort Collins, Colorado, United StatesUSD 114K–152K / year Senior Electrical EngineerAnduril Industries · Broomfield, Colorado, United States; Fort Collins, Colorado, United StatesUSD 127K–170K / year Senior RF EngineerAnduril Industries · Broomfield, Colorado, United States; Fort Collins, Colorado, United StatesUSD 144K–192K / year RF EngineerAnduril Industries · Broomfield, Colorado, United States; Fort Collins, Colorado, United StatesUSD 127K–170K / year Co-Simulation Engineer IIIJobgether · USRemote Senior Space Avionics Hardware Development EngineerVarda Space Industries · El Segundo, California, United StatesUSD 140.3K–202.7K / year Senior Electrical Engineerrainmaker · El Segundo, CA

7,287 open non-software engineering and technicians jobs in the United States All open jobs at Gauss Labs →

Workplace	Hybrid
Seniority	Senior
Role	Non-software engineering and technicians
Countries	United States
Employment type	Full-time
Key facts	Experience: 3+ years · Degree required

The full description is on the original posting. Labels are set automatically and can be wrong. About the data