Top Remote Data Science Jobs in Los Angeles, CA

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

The Staff Data Scientist will build AI systems, lead model development and analysis, ensure quality of AI solutions, and collaborate effectively with teams.

The Staff Data Scientist will analyze large datasets, apply statistical modeling, design experiments, and collaborate with teams to enhance loan and payment products.

As a Staff Data Scientist, you will lead high-impact initiatives, develop algorithms, design experiments, and influence company strategy while mentoring other data scientists and collaborating cross-functionally.

The Senior Data Scientist will analyze the impact of models on user outcomes, design measurement frameworks, and collaborate with ML Engineers and Analysts to improve product experiences.

Lead a data science team at Courtyard.io to drive data-driven decisions, build predictive models, and enhance marketing strategies. Manage analytics workflows and collaborate with cross-functional teams.

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.

The Lead Data Scientist will develop and validate probabilistic cyber risk models for insurance, collaborate with various teams, and enhance data-driven insights within the organization.

The Senior Data Engineer will develop a data service for command and control software, requiring extensive data engineering experience and security clearance.

The Senior Data Scientist will design measurement frameworks, optimize marketing strategies, improve data-driven brand strategies, and lead data science initiatives for marketing impact.

Assist the data science team in developing and deploying applications in the food production supply chain by cleaning data, analyzing large datasets, and applying machine learning techniques.