Top Remote Data Science Jobs

As a Staff Data Scientist, you will monitor and analyze personal loans underwriting models, driving data-driven decisions and enhancing model performance through deep analytical insights.

As a Data Scientist, you will design and operationalize advanced analytics, develop scalable models, and collaborate with teams to enhance product capabilities in healthcare.

As a Staff Data Scientist, you'll partner with the CEO, analyze macroeconomic impacts, leverage AI for insights, and mentor juniors while developing data products.

The Senior Data Scientist will develop predictive models, apply machine learning for marketing initiatives, and optimize growth strategies by collaborating with cross-functional teams to drive customer acquisition and retention.

Seeking a Staff Data Scientist to collaborate with Marketing and Growth teams, applying machine learning to enhance customer acquisition and retention strategies. Responsibilities include mentoring, designing data science solutions, and influencing growth strategies through predictive modeling and statistical analysis.

As a Data Scientist II, you'll analyze products, design experiments, and build metrics to enhance customer experience and product strategy at Coinbase.

As a Data Scientist II at Coinbase, you'll analyze products, conduct experiments, and develop metrics to enhance user experiences and drive product improvements.

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

As a Product Data Scientist, you will analyze user behavior, drive experimentation, build data tools, and collaborate across teams to influence product strategy and innovation at Whatnot.

The Data Scientist will develop predictive models, conduct exploratory analysis, collaborate with teams, build data pipelines, and create visualizations to drive decision-making.

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 Geospatial Data Scientist will support GEOINT analysts in creating data architectures and integrating algorithms for intelligence requirements, with a strong emphasis on data science techniques and GEOINT operations.

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

As a Sr. Data Scientist, you will lead complex initiatives in machine learning, mentor team members, drive technical roadmaps, and enhance code quality while solving challenging technical problems.

The Senior Data Scientist will develop advanced analytics to enhance product value, mentor junior members, and lead initiatives in healthcare commercialization.

The Senior Data Scientist will analyze user behavior, design experiments, create segmentation strategies, and communicate findings to impact product optimization and business growth.

The Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

As a Senior Data Scientist at AKASA, you will analyze deep product data, focusing on improving GenAI products in healthcare revenue cycle management, evaluating performance, and guiding product strategy using statistical methods.

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

As a Senior Data Scientist, you'll develop predictive models and machine learning solutions to drive customer acquisition, engagement, and retention strategies that influence Airwallex's growth.

The Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

The Data Scientist will design scalable data pipelines, develop core metrics, create dashboards, analyze experiments, and communicate insights to stakeholders.

The Data Scientist will improve data quality, develop automated reporting solutions, and apply machine learning to support CMS in fraud detection.

The Data Scientist IV leads machine learning model development, performs data analysis for insights, collaborates on projects, and mentors junior team members.

The Investment Data Scientist - Senior role focuses on developing advanced statistical and machine learning models, managing investment data, and collaborating with various teams to optimize investment processes and drive business value.