Top Remote Data Science Jobs in Cincinnati, OH

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

The Senior Data Scientist will analyze customer data, define success metrics, lead technical teams, and develop data infrastructure to improve products at Webflow.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

As a Senior Data Scientist in Sales, you'll analyze customer behavior, develop predictive models, and create dashboards to optimize sales strategy and forecast revenue.

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.

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

Build and manage predictive modeling and risk frameworks for data-driven decision-making in a fast-paced SaaS environment. Directly operationalize models for real-time insights, collaborating across teams to enhance analytics with AI technologies.

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.

Collaborate with data scientists to build models for recommendations and user segmentation, design A/B tests, and deploy ML models while ensuring clean, maintainable code.

The role involves executing SEO analysis and testing, managing experiments, translating results into recommendations, and monitoring performance metrics for clients.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

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 role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

Lead cross-functional data science initiatives, prototype ML models, and enhance procurement optimization strategies while mentoring junior team members.

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.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The Staff Data Scientist will lead forecasting efforts, managing revenue and cancellation modeling, automating systems, and enhancing decision-making insights from complex data.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

Lead data science efforts for the Rentals Shopping pillar, driving strategy, modeling, experimentation, and cross-functional collaboration to improve user experience and business performance.

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.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

The role involves establishing metrics for cloud games' quality of experience, analyzing data, and collaborating with engineering teams to enhance performance and drive data-informed decisions.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.