2627 Scientist Data Science jobs in Los Angeles,CA

Clinical Laboratory Scientist (CLS II) - Clinical Lab

Prime Healthcare Services

San Dimas, CA 91773

University of Southern California

Los Angeles, CA 90011

Outlier

Los Angeles, CA

2+ years of experience in backend engineering, AI automation, or complex systems integration
Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)
Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases
Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors
This is a 1099 contract opportunity on the Outlier.ai platform. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence.

Abbott Laboratories

Los Angeles, CA 90011

Los Angeles County Office of Education

Downey, CA 90242

UCLA Health

Los Angeles, CA 90011

TELUS Digital

Los Angeles, CA 90001

Disney Experiences

Anaheim, CA 92802

Associate or Bachelor degree in Statistics, Economics, Computer Science, Engineering, Mathematics, Analytics / Business Analytics, or other related quantitative field is required
Experience in using statistical, econometric, machine learning, or data mining techniques to inform model development and business decisions in a professional or academic setting
Experience analyzing structured and unstructured data and developing machine-learning models using one or more data science programming languages (e.g., Python or R)
Experience building executive-ready presentations and translating complex statistical or predictive modeling results into clear, actionable insights for non-technical audiences
Experience managing multiple analytical projects simultaneously, meeting defined deadlines, and operating effectively with minimal supervision
Experience applying critical thinking and analytical judgment to solve ambiguous problems and rapidly learn or apply new analytical techniques as project needs evolve