Top Remote Data Science Jobs in Dayton, OH

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.

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.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

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.

The Senior Data Scientist will optimize product performance, drive product innovation through data-driven insights, and foster a culture of data-driven decision-making across teams.

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 Data Scientist will analyze data, develop models, collaborate across teams, and support strategic projects to drive insights and growth.

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

Lead the design and development of personalization models, applying advanced AI/ML methods to enhance member experiences and collaborating with cross-functional 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.

Lead the development of predictive modeling and supply chain analytics, focusing on ETA prediction for transportation logistics using advanced analytics and machine learning techniques.

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.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

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.

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.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

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

Analyze complex data sets, develop predictive models, collaborate with stakeholders for data-driven decisions, and ensure data quality.

The Staff Data Scientist will optimize ads delivery, lead experimentation, mentor junior scientists, and communicate findings to stakeholders. They will work with product and engineering leaders to evolve strategy and improve tools for analyzing ads performance.

The Data Scientist will analyze complex data sets, develop predictive models, collaborate with stakeholders, and create data visualizations to inform business decisions.

As a Data Scientist, you will identify opportunities using data to shape product decisions, develop metrics, and influence strategic partnerships across teams.

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

As a Data Scientist, you'll develop statistical models, analyze data, build data pipelines, and collaborate to provide data-driven insights.

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.