5 applied data scientist jobs at 5 companies in Redlands, CA
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Scientist - Applied Laser Physics
Foothill Ranch, California, United States
$115k-$155k/yr OnsiteFull Time
PhD in Physics/Applied Physics/Optical Engineering required; established experience with optical diagnostics and laser systems in plasma or accelerator environments; expertise in interferometry and Thomson scattering; strong mentoring and data-interpretation skills.
2mo
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Applied Scientist II, Search Ranking
Seattle or Irvine or Palo Alto
$143k-$222k/yr OnsiteFull Time
4+ YOEPhD or Master's +4 years in CS/CE/ML or related field; programming experience in Java, C++, or Python; strong background in algorithms, optimization, data mining, distributed computing; experience with ML/deep learning and scientific publication.
Java, C++, Python, Unix, Linux, MXNet, TensorFlow, Caffe, PyTorch
1mo
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Senior Principal Data Scientist, AEC
California or Washington or New York or British Columbia or Ontario or Irvine
$159k-$286k/yr RemoteFull Time
10+ YOE10+ years in data science/applied ML focused on product analytics and user behavior modeling; expertise in predictive modeling, instrumentation, AI evaluation, and experimentation; strong communication and technical leadership.
LLMs, MCP, RAG architectures, LLM-as-a-Judge, A/B testing
4w
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Lead Data Scientist (Agentic Solutions)
Irvine or El Segundo
$171k-$214k/yr OnsiteFull Time
5+ YOE5+ years in ML or applied data science; expertise with agentic frameworks, SLMs, LoRA/QLoRA, token-efficient architectures; expert Python and strong SQL; Bachelor's required (Master/PhD preferred).
LangChain, LlamaIndex, Haystack, Phi, Mistral, Gemma, LoRA, QLoRA, Python, SQL, Databricks, Spark, Delta Lake, Snowplow
2mo
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Sr. Data Scientist (Irvine, CA, US)
Irvine, California, United States
$114k-$220k/yr OnsiteFull Time
8+ YOEBS + 8 years in ML/CS/EE/applied math (PhD preferred); strong ML/DL (CNNs, transformers, time-series, probabilistic methods); Python and PyTorch/TensorFlow/Scikit-learn; statistics, optimization, model evaluation; cross-team collaboration.
Python, PyTorch, TensorFlow, Scikit-learn, Airflow, MLflow