8 full stack data scientist jobs at 7 companies in Danville, CA
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Data Scientist
San Jose, California, United States
$232k-$300k/yrHybridFull Time
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
10+ YOERequires 10+ years in AI, machine learning, full-stack application development, advanced analytics, manufacturing, or supply chain; strong programming, modern AI/ML frameworks, production applications, and manufacturing or supply chain expertise.
GCP, Azure AI, Azure OpenAI, Microsoft Fabric, Databricks, Power Platform, Power BI, RAG, LLM, ERP, MES, APS, PLM
Probably Genetic: Provides genetic testing and diagnostic software for rare diseases.
7+ YOE7+ years in data science or ML engineering; strong Python and core data stack (pandas, NumPy, scikit-learn, PySpark, SQL); end-to-end ML production experience; NLP and prompt engineering experience; strong communication.
San Francisco or New York City or Seattle or Little Rock
$130k-$197k/yrHybridFull Time
LiveRampNew York Stock Exchange: RAMP: Provides a platform for secure data collaboration and identity.
3+ YOEMS/PhD or equivalent experience; 3+ years building and deploying ML solutions; proficiency in Python and SQL; experience with large datasets, cloud data stacks, experiment design, and strong communication skills.
Arcadia Science: Independent evolutionary biology research developing therapeutics and tools.
Experienced engineer with product instincts, proficiency in Python and TypeScript, AI/LLM experience, building data pipelines and scientific UIs, and ability to partner with bench scientists.
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
8+ YOE8-15 years of backend-focused engineering; full stack experience; AWS, Kubernetes; API design; data pipelines; Python; collaboration with scientists and engineers.
Waterloo or New York City or San Francisco or Toronto or London
$196k-$270k/yrHybridFull Time
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
5+ YOE5+ years building production ML/AI systems, hands-on applied science (data, evaluation, modeling), shipped agentic/LLM features, cross-stack engineering experience, and strong experimental and product judgment.
Rhoda AI: Developing generalist robotic intelligence for real-world industrial automation.
Proven experience improving large-scale distributed training performance; strong ML stack knowledge; expertise in training systems for multimodal data; ability to optimize compute, memory, and communication.