9 full stack data scientist jobs at 8 companies in Fremont, CA
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Senior Data Scientist
San Francisco, California, United States
$180k-$230k/yrHybridFull Time
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.
InterVenn Biosciences: Developing AI-powered glycoproteomic diagnostics for personalized cancer care.
6+ YOEPhD +6 years (or MS +8 years) in a quantitative field, demonstrated methodological innovation, deep proficiency in Python/R and modern ML stack, experience with high-dimensional biological data and batch-effect correction, strong communication skills.
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
8+ YOE8+ years data science/analytics experience, master\u0002s or MBA in a quantitative field, expert in statistics/ML, Python or R (PyData stack), SQL, strong executive communication, experience delivering enterprise predictive initiatives.
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.