Top Remote Data Science Jobs in Los Angeles, CA

The Data Scientist will analyze user behavior data, design experiments, create dashboards, and provide insights to drive business growth and optimize products.

The Staff Data Scientist will analyze large datasets, design A/B experiments, develop metrics and facilitate decision-making to enhance loan and payment products within the Cash App.

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 Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

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, you will lead A/B testing, reporting, and analysis for the Financial Platform, focusing on optimizing payment systems and building data products.

The Data Scientist will develop automated risk monitoring capabilities and key risk indicators, collaborating with teams to enhance decision-making and risk management. Responsibilities include analytics, metric development, and communicating findings to stakeholders to improve risk controls.

Looking for a Staff Data Scientist to support the Financial Platform team, focusing on A/B testing, reporting, analysis, and automation of financial services.

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

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

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.

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

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

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

Analyze large datasets to provide actionable insights, design experiments, communicate findings, and lead cross-functional projects in a growth-focused data science role.

The Data Scientist will develop and maintain models for ratemaking and underwriting, educate stakeholders, and contribute to decision-making processes in the insurance sector.

Seeking a Data Scientist to build data solutions using deep learning and statistical tools, collaborating with product teams and clients to extract insights from marketing data.

The Data Scientist will analyze large datasets, support data validation, collaborate on feature engineering, and assist in predictive modeling to improve forecasts.

As a Customer Analytics Data Scientist, you will analyze data for fraud prevention, present results, collaborate with various teams, and support customer success efforts.

Principal Data Scientist role focuses on developing predictive models for underwriting in healthcare using advanced machine learning techniques and large datasets. Collaborate across teams to drive data-driven solutions and stay updated on industry trends.

Analyze datasets using SQL and Python, evaluate experiments, partner with ML engineers for model development, and communicate insights to stakeholders.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

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.

The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

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.