5 staff data scientist jobs at 4 companies in Oxnard, CA
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Staff Data Scientist
Santa Monica or Brooklyn or San Francisco or Los Angeles or New York City
$200k-$230k/yrHybridFull Time
Pivotal Health: AI platform automating healthcare insurance claim disputes for providers.
Strong applied data science and optimization experience; production modeling, experimentation, Python, AI-native workflows, and ability to partner with engineers to productionize decisioning systems.
Staff / VP, Data Science - Marketing & Sales Focus
Santa Monica or New York City
$280k-$300k/yrHybridFull Time
TWG Global: Investment holding scaling AI across finance and sports.
7+ YOE7+ years building and deploying production ML/AI systems, hands-on LLM experience, strong predictive modeling and experimentation skills, proficiency in Python and modern AI tools, excellent communication; advanced degree preferred.
Staff Scientist - Real World Evidence and Data Science
Santa Clara or Sylmar
$114k-$228k/yrOnsiteFull Time
AbbottNYSE: ABT: Manufactures medical devices, diagnostics, and nutritional health products.
9+ YOEAdvanced degree in relevant discipline, 9+ years RWE or observational research experience preferred, hands‑on programming with SQL/R/SAS/Python, experience with EHR/claims/hospital data, strong communication and epidemiology skills.
SQL, R, SAS, Python, Electronic Health Records (EHR)
Staff Scientist - Real World Evidence and Data Science
Santa Clara or Sylmar
$114k-$228k/yrOnsiteFull Time
AbbottNYSE: ABT: Provides medical devices, diagnostics, and science-based nutritional products.
9+ YOEAdvanced degree in epidemiology/biostatistics/clinical research or related field; extensive RWE and observational study experience; hands-on programming with SQL,R,SAS,Python; strong scientific communication and cross-functional collaboration skills.
Roux: Provides environmental consulting, engineering, and remediation services.
1+ YOEBachelor's degree in a technical field, minimum 1 year environmental consulting experience, field sampling and drilling oversight, data evaluation, report preparation, and ability to work independently in the field.