Top Remote Data Science Jobs in Los Angeles, CA

The Data Scientist II role involves analyzing healthcare data, developing models, and delivering insights to support decision-making in a dynamic organization, while leveraging advanced technologies like LLMs and data visualization tools.

As a Senior Staff Data Scientist, you'll define data strategy, mentor team members, advance experimentation practices, and collaborate with various teams to enhance product and business metrics.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

As a Staff Data Scientist, lead high-impact data science projects, mentor team members, and innovate using AI and machine learning. Collaborate across teams to enhance products and deliver insights.

The Staff Data Scientist will lead projects to drive insights, define business metrics, advance experimentation, and collaborate with various teams to enhance user experience and product performance.

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.

Join our team as a Data Scientist 1, focusing on data engineering, machine learning, and client collaboration to solve data challenges.

Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

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

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

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

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

As a Senior Data Scientist, you'll shape the AI-first mission at Dropbox by leveraging data insights, collaborating with teams, and driving product strategies.

The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.

The Data Scientist I at Signifyd will focus on analyzing fraud patterns, deploying models, and improving the Commerce Protection Platform, collaborating with various teams.

The Staff Data Scientist will develop and deploy AI/ML models, lead projects, collaborate across teams, and drive business impact through analytics solutions.

As a Data Scientist II, you will develop and deploy machine learning models, monitor performance, and communicate findings across teams. Collaboration and ownership of ML products are key.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

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.

The Staff Data Scientist will lead the design and implementation of AI solutions for fraud detection, mentor team members, and collaborate with various stakeholders to deliver robust data products.

The Data Scientist II (RWD) will analyze real-world insurance claims and EHR data, conduct statistical analysis, and develop AI models while collaborating with experts to produce insights and communicate findings.

As a Senior Data Scientist at Gradient AI, you'll design predictive models for insurance underwriting, analyze large datasets, and collaborate with cross-functional teams.

The Senior Data Scientist at Coinbase will analyze ambiguous problems, own core metrics, and drive data science projects, impacting business decisions.