Top Data Science Jobs in Santa Cruz, CA

23 Days AgoSaved
In-Office or Remote
Santa Cruz, CA
100K-210K Annually
Senior level
100K-210K Annually
Senior level
Information Technology • Legal Tech • Professional Services • Analytics • Business Intelligence
Lead design and validation of agentic AI capabilities for legal workflows using LLMs, NLP, RAG, hybrid search, embeddings and vector databases. Drive experimentation, evaluation, and metrics, translate results to product recommendations, collaborate with engineers and legal experts, and mentor team members.
Top Skills: AutogenEmbeddingsGenerative AiHybrid SearchLangchainLanggraphLexical SearchLlmsNlpPrompt EngineeringPythonRagSemantic SearchVector Databases
23 Days AgoSaved
Remote or Hybrid
Santa Cruz, CA
170K-200K Annually
Senior level
170K-200K Annually
Senior level
eCommerce • Information Technology • Machine Learning • Marketing Tech • Database • Analytics • Big Data Analytics
Lead development and operationalization of measurement products (MMM, incrementality, insights, recommendations). Build, deploy, and maintain production-grade statistical and ML systems, debug end-to-end data and model issues, evaluate methodologies, and partner with engineering, product, and customer teams to improve measurement accuracy and reliability. Provide customer-facing explanations and support for measurement outputs.
24 Days AgoSaved
Remote
Santa Cruz, CA
140K-165K Annually
Senior level
140K-165K Annually
Senior level
Fintech • Payments
Build and deploy credit and fraud risk models using advanced ML/statistical methods. Partner with stakeholders, extract insights from large transaction datasets, automate feature/production pipelines, mentor junior data scientists, and ensure model quality and deployment scalability.
Top Skills: Aws SagemakerFeature StoreLightgbmMlopsPandasPythonRScikit-LearnSQL
25 Days AgoSaved
Remote
Santa Cruz, CA
Senior level
Senior level
Fintech • Mobile • Payments • Software
Proactively explore RevenueCat's data to identify product opportunities, translate ambiguous problems into analyses and production-grade predictive/descriptive models, partner with Product and Engineering to ship data-powered features (LTV prediction, experimentation, benchmarking), define statistical approaches, iterate on models in production, and communicate insights to technical and non-technical audiences.
Top Skills: AWSDbtPostgresPythonSnowflakeSQL
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