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Data science Jobs in Los Angeles, CA
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Data science • los angeles ca
- Promoted
Head of Data Science
ConfidentialLos Angeles, CA, United States- Promoted
Data Science Lead - Los Angeles, CA - Rate Open
TWO95 InternationalLos Angeles, CA, United StatesData Science Lead
VirtualVocationsVan Nuys, California, United States- Promoted
Senior Data Science & Automation Analyst
City National BankLos Angeles, CA, United States- Promoted
Lead Engineer Data Science - US Based Remote
Anywhere Real EstateLos Angeles, CA, United StatesDirector of Data Science, AdTech
VIZIOLos Angeles, California- Promoted
Data Science & Analytics Internships - Summer 2026
NBCUniversalUniversal City, CA, United StatesSr. Data Science Manager, Marketing
Farmers Insurance DDHQLos Angeles, CA, United States- Promoted
2026 Summer Internship - Data Analytics / Data Science / Applied Math / Statistics
Southern California EdisonAlhambra, CA, United States- Promoted
Data Science Analyst II / Office of Enterprise Data / Full-time
Children's Hospital Los AngelesLos Angeles, CA, United States- Promoted
Data Science Analyst r
Global Channel ManagementPasadena, CA, United States- Promoted
Data Science Technical Lead - Life Sciences
McKinsey & CompanyLos Angeles, CA, United StatesManager, Data Science, Ads Ranking
Snap Inc.Los Angeles, CaliforniaData Science / Data Architect
Shuvel DigitalLos Angeles, California, United States- Promoted
Artificial Intelligence / Machine Learning / Data Science
Community School of the Arts FoundationLos Angeles, CA, United States- Promoted
Senior Data Science Engineer III
BlackBear CorporateLos Angeles, CA, United StatesData Science Manager - USDS
TikTokLos AngelesPrin AI / Data Science Engineer
MedtronicLos Angeles, California, United States of AmericaDirector Data Science
MaterialLos Angeles, California, USAThe average salary range is between $ 93,600 and $ 195,000 year , with the average salary hovering around $ 144,421 year .
- team owner operator (from $ 154,700 to $ 430,600 year)
- anesthesiologist (from $ 52,833 to $ 420,000 year)
- trauma surgeon (from $ 63,220 to $ 396,075 year)
- orthopaedic surgeon (from $ 160,185 to $ 350,000 year)
- hospitalist (from $ 75,000 to $ 280,000 year)
- general surgeon (from $ 50,000 to $ 275,000 year)
- dermatologist (from $ 43,350 to $ 270,000 year)
- thoracic surgeon (from $ 237,979 to $ 265,679 year)
- chief sustainability officer (from $ 201,765 to $ 264,014 year)
- industrial production manager (from $ 59,456 to $ 250,000 year)
- Cambridge, MA (from $ 83,200 to $ 240,000 year)
- Bellevue, WA (from $ 108,000 to $ 228,325 year)
- Vancouver, WA (from $ 77,081 to $ 228,000 year)
- Fremont, CA (from $ 136,510 to $ 226,500 year)
- Milwaukee, WI (from $ 143,360 to $ 224,770 year)
- Sunnyvale, CA (from $ 165,000 to $ 222,000 year)
- San Francisco, CA (from $ 117,549 to $ 220,136 year)
- San Mateo, CA (from $ 114,445 to $ 218,207 year)
- San Jose, CA (from $ 111,734 to $ 217,850 year)
- San Bernardino, CA (from $ 112,882 to $ 216,713 year)
The average salary range is between $ 89,553 and $ 190,812 year , with the average salary hovering around $ 132,925 year .
Related searches
Head of Data Science
ConfidentialLos Angeles, CA, United States- Full-time
Head of Data Science
About the Company
Innovative AI startup specializing in document redaction solutions
Industry
Information Technology and Services
Type
Privately Held
About the Role
The Company is in search of a Head of Data Science to lead its AI / ML-powered document redaction solutions. The ideal candidate will be a hands-on leader with a strong background in production-grade NLP and PDF processing, particularly in the areas of PII detection and Named Entity Recognition. Experience in a lean environment and the ability to scale a small data science team while actively contributing to the build process are essential. The role involves inheriting one team member and gradually expanding the team, so a collaborative and execution-oriented mindset is a must. Key responsibilities for the Head of Data Science include bringing models to market, continuously optimizing them in real-world settings, and having a strong focus on MLOps. While experience with SageMaker is preferred, it is not required, as the learning curve is considered manageable. The successful candidate will be expected to have a startup mindset, be scrappy, and be comfortable working in production environments. Python fluency is a given, and the ability to work with a small team to deliver high-quality, customer-facing solutions is a critical aspect of the role.
Travel Percent
Less than 10%
Functions
- Data Management / Analytics