Agilent Technologies
This role designs, validates, and productizes custom machine learning and deep learning models for laboratory solutions, converting scientific workflow challenges into rigorous modeling problems. The Data Scientist develops fit-for-purpose algorithms and establishes defensible evaluation methods to deliver reliable AI-enabled capabilities for laboratory data and scientific workflows. The position emphasizes practical model development for use cases such as chromatographic and mass spectrometry data analysis, image analysis, and anomaly detection.
Headquarters
Santa Clara, California, United States
Company Size
10001+ employees
Founded
1999
Agilent delivers complete scientific solutions, helping customers achieve superior outcomes in their labs, clinics, business and the world they seek to improve.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Agilent Technologies.
Agilent Technologies didn’t post a salary, so this is our estimate from similar listings.
23% below the average for this role
Spécialiste en HPLC et Spectométrie de masse/HPLC and Mass Spectrometry Specialist
KABS Laboratories Inc
Mid-level Computer Vision (Algoritmos e Metrologia)
CESAR
Abschlussarbeit im Bereich der Aroma-Analytik
Silesia
Mid Data Science AI
NielsenIQ
Machine Learning Engineer
Radiance Technologies
AI Engineer (Computer Vision/Signal Processing)
KLA