Top Senior Data Science Jobs in Los Angeles, CA

Lead and mentor the Generative AI team, developing and optimizing machine learning models and solutions for multimodal data processing and document understanding.

The Senior/Staff Data Scientist will develop models, data products, and insights for informed decision-making, creating dashboards and reports that drive business operations and outcomes.

Lead multi-omics analyses in therapeutic discovery, focusing on structural biology and proteomics; develop Python solutions and communicate findings.

As a Senior Data Scientist, you'll partner with marketing stakeholders to develop analytical models, generate insights, and improve business decision-making through data-driven recommendations.

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

Lead the development of predictive models, ensuring business alignment and project management within the ML Business Modeling team, collaborating with engineers and stakeholders.

As a Staff Data Scientist, you will enhance Mozilla's operational efficiency by creating reporting systems, automating workflows, employing AI tools, and collaborating on metrics and performance analysis.

The Staff Data Scientist supports marketing intelligence products by enhancing forecasting and experimentation models, translating customer needs into technical requirements, and troubleshooting measurement issues.

As a Senior Data Scientist, you will develop and maintain datasets for monitoring reliability issues, partnering with engineering for diagnostics and designing KPIs to measure business impact.

Design and develop AI-driven tools for meta-analysis and RWE generation, collaborating with teams to ensure scientific rigor and compliance. Leverage LLMs and MLOps best practices while mentoring team members and driving innovation in healthcare analytics.

Seeking a Senior Data Scientist to analyze user growth and improve acquisition strategies using data-driven insights and predictive modeling.

The Staff Data Scientist will design and optimize AI-driven machine learning models for healthcare applications, ensuring data privacy and collaboration with experts.

Lead cross-functional data science initiatives, prototype ML models, and enhance procurement optimization strategies while mentoring junior team members.

The Staff Data Scientist will lead the design and development of Game Understanding Agents using machine learning methods, mentoring engineers and setting technical direction.

The Data Scientist II will develop AI/ML models, apply generative AI techniques, analyze large datasets, and collaborate on data-driven strategies.

As a Senior Data Scientist, you'll analyze large datasets, develop models, improve underwriting processes, and collaborate across teams to drive impactful credit strategies.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

Lead data science initiatives focusing on healthcare fraud, waste, and abuse. Perform detection analysis, assess trends, and present findings to support decision-making.

Lead the development of credit risk models, collaborating with consultants and technology teams, and implement LLM-based agents for dynamic decision-making.

The Senior AI Data Scientist will develop AI solutions for marketing analytics in consumer lending, focusing on agentic AI and predictive modeling.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

As a Staff Data Scientist, you will develop and refine machine learning models, integrate them into products, mentor team members, and drive business impact.

As a Senior Product Data Scientist, you'll analyze customer behavior, optimize user retention and marketplace efficiency, and drive product strategy through data insights and SQL querying.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

Develop and deploy machine learning models for fraud detection and prevention, collaborating with teams and ensuring model performance over time.