2 full stack data scientist jobs at 2 companies in Orange, CA

PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
PromotedHiringCafe
Founding Full-stack / Product Engineer
Cupertino, CA, US
$130k-$300k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
React, Next.js, TypeScript, Firebase, Elasticsearch, Redis, Stripe
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Data Scientist (ITS)
Los Angeles, California, United States
$120k-$156k/yr OnsiteFull Time
University of Southern California
University of Southern California: Private research university providing higher education and healthcare services.
2+ YOEBachelor's degree or equivalent experience, 2+ years relevant experience, strong Python and SQL skills, ML framework experience, full‑stack and LLM/application deployment experience, knowledge of data modeling and secure AI practices.
Python, SQL, GitHub, PyTorch, TensorFlow, JavaScript, Node.js, QT, R, Tableau, ArcGIS, D3.js, MySQL, SQL Server, Oracle, Snowflake, Redshift, Mongo, LangChain, LangGraph, AutoGen, CrewAI, n8n, AWS, Azure, GCP
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Engineering Data Scientist (Senior or Lead)
Seal Beach, California, United States
$173k-$296k/yr OnsiteFull Time
Boeing
BoeingNYSE: BA: Designing and manufacturing commercial aircraft and defense systems.
9+ YOEBachelor's degree required, 9+ years in data science/analytics/engineering, experience leading cross-functional teams, AI/ML and ETL expertise; preferred advanced degree and experience with cloud and full analytics stacks.
Azure, Google Cloud Platform (GCP), Teradata, Databricks, API