8 full stack data scientist jobs at 7 companies in San Bruno, CA

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Data Scientist
San Jose, California, United States
$232k-$300k/yr HybridFull Time
Cisco
CiscoNASDAQ: CSCO: Global leader in networking, cybersecurity, and cloud-native technology solutions.
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
2mo
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Senior Data Scientist
San Francisco, California, United States
$180k-$230k/yr HybridFull Time
Probably Genetic
Probably Genetic: Private biotechnology providing AI-assisted genetic testing and counseling to families with 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.
Python, pandas, NumPy, scikit-learn, PySpark, SQL, OpenAI, Databricks
1mo
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Senior Data Scientist
San Francisco or New York City or Seattle or Little Rock
$130k-$197k/yr HybridFull Time
LiveRamp
LiveRampNYSE: RAMP: Public data collaboration platform helping brands, publishers, retailers, and media platforms unify, activate, and measure data.
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.
Python, SQL, pandas, NumPy, scikit-learn, BigQuery, Dataflow, Vertex AI, Google Cloud Platform
1mo
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Scientific Software Engineer - Full Stack
Emeryville, California, United States
$160k-$195k/yr OnsiteFull Time
Arcadia Science
Arcadia Science: For-profit evolutionary biology using diverse organisms to develop therapeutic-discovery tools for researchers.
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.
Python, TypeScript, LLMs, AutoOpenRaman
3mo
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Principal Software Engineer, Data
Cambridge or San Francisco
$204k-$348k/yr HybridFull Time
Lila Sciences
Lila Sciences: Builds AI and autonomous labs for scientific discovery.
8+ YOE8-15 years of backend-focused engineering; full stack experience; AWS, Kubernetes; API design; data pipelines; Python; collaboration with scientists and engineers.
React, TypeScript, Nx, Tailwind, FastAPI, SQL/NoSQL, Python, Pydantic, SQLAlchemy, SQLModel, Django, Airflow, Prefect, Temporal, Dagster, pandas, numpy, scipy, jax, pytorch, AWS, Kubernetes, Terraform, CloudFormation, GitHub Actions
2mo
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Senior Applied AI/ML Scientist - Compass
Waterloo or Toronto or New York City or San Francisco
$171k-$236k/yr HybridFull Time
Faire
Faire: Private wholesale marketplace connecting independent retailers with brands and makers worldwide.
5+ YOE5+ years building production ML/AI systems, hands-on applied-science ownership (data, evaluation, modeling), shipped agentic/LLM-powered features, cross-stack engineering (backend, data, frontend), strong judgment and autonomy.
FLARE, Python, OpenAI Agents SDK, Snowflake
2mo
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Senior Applied AI/ML Scientist - Compass
Waterloo or New York City or San Francisco or Toronto or London
$196k-$270k/yr HybridFull Time
Faire
Faire: Private wholesale marketplace connecting independent retailers with brands and makers worldwide.
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.
FLARE, Python, OpenAI Agents SDK, Snowflake
3mo
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Research Scientist / Engineer - Training Systems
Palo Alto, California, United States
OnsiteFull Time
Rhoda AI
Rhoda AI: Private robotics startup building robot foundation models for autonomous industrial tasks in manufacturing, logistics, automotive, and ecommerce.
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.
PyTorch, JAX, CUDA, Triton