Top Senior Data Science Jobs in San Diego, CA

As a Lead Data Scientist, you'll extract insights from large datasets, develop predictive models, and optimize processes while collaborating with teams.

Seeking a Senior Data Scientist to enhance modeling capabilities and deliver insights in decentralized finance through collaboration and innovative research in the crypto space.

The role involves transforming raw data into consumer features, applying statistical techniques, monitoring performance, building dashboards, and collaborating across teams to enhance decision-making in credit lifecycle processes.

The Senior Data Scientist (NLP) will design NLP workflows, implement indexing strategies, develop prompting frameworks, and integrate advanced RAG architectures while mentoring junior data scientists and collaborating across teams.

As a Sr. Data Scientist, you will develop machine learning models, analyze large datasets, and communicate insights to support business strategy and growth.

As a Senior Data Scientist, you'll analyze complex data sets for insights, develop predictive models, apply statistical techniques, and collaborate with cross-functional teams while mentoring others.

As a Senior Data Scientist, you will develop insights to guide product strategy, enhance experimentation practices, and mentor junior data scientists.

Lead the design of human-aware AI systems to enhance human-AI interaction through robust machine learning pipelines and evaluation metrics.

Design and implement AI agents for autonomous goal management, evaluating alignment with human intent and integrating safety mechanisms while leading AI/ML system development.

Lead Data Scientist responsible for developing AI solutions and managing machine learning models while collaborating with MLOps and DevOps teams to enhance healthcare outcomes.

The Senior Data Scientist will develop machine learning models, collaborate with cross-functional teams, and help improve credit risk assessments to drive business growth.

Lead Data Scientist responsible for enhancing user experience and product efficiency through data analysis, ML modeling, and collaboration across teams. Mentors others and drives innovation in real-world applications.

The Senior Data Scientist will lead data science projects, mentor junior staff, and translate business challenges into machine learning solutions, influencing business strategy through data insights.

Develop electrical system ontology for data centers, utilize monitoring tools, create anomaly detection models, and collaborate with teams on insights and strategies for optimization.

The Senior Data Scientist will enhance the Marketing Mix Modeling platform, develop AI tools, automate modeling processes, and provide actionable insights from complex data.

As a Senior Data Scientist at TRM Labs, you will lead the development of machine learning models for detecting cryptocurrency fraud, collaborating with cross-functional teams to analyze blockchain data and communicate insights effectively.

As Lead Data Scientist, you'll advance forecasting models, deploy pipelines, collaborate on diverse datasets, and mentor junior team members.

As a Senior Data Scientist, you will develop models to extract insights from complex datasets, focusing on temporal and geospatial features, while collaborating with engineering teams to implement solutions.

Drive the development and deployment of data science products focused on causal inference from observational data, collaborating with teams and maintaining data science solutions.

As a Senior Data Scientist at Phantom, you'll analyze product data to drive strategic decisions, develop metrics, and collaborate with cross-functional teams to enhance user experience in the crypto ecosystem.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

As a Senior Data Scientist, you will develop predictive models and algorithms to optimize marketing bidding strategies, enhancing growth and profit at Root.

The role involves building machine learning algorithms, implementing data cleaning processes, and developing predictive models in the energy sector.

Lead marketing measurement models, analyze user acquisition performance, design experiments, and automate reporting. Collaborate across teams to align models with business goals.

Lead research initiatives using real-world data to revolutionize drug discovery. Mentor team members, manage complex projects and collaborate on observational study designs.