Top Data Science Jobs in Cincinnati, OH

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 role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

As a Staff Data Scientist, you will develop and refine machine learning models, integrate them into products, mentor team members, and drive business impact.

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

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

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.

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.

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.

The Marketing Data Scientist will analyze lead funnel efficiency, marketing measurement, and provide insights for optimizing marketing strategies through collaboration with various stakeholders.

As a Data Scientist at Reddit, you will analyze data, develop machine learning models, and collaborate with teams to enhance the advertising platform.

Develop and deploy machine learning models for fraud detection and prevention, collaborating with teams and ensuring model performance over time.

The Assistant VP, Data Scientist will develop and deploy AI applications, collaborate with stakeholders, and lead AI initiatives within the bank.

As a Staff Data Scientist II, you'll lead research on lead segmentation and bidding optimization, mentor team members, and deliver high-impact solutions using advanced quantitative techniques.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

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.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist will analyze complex datasets, ensuring data correctness while developing insights and automation for investment management.

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.

The Data Scientist will develop and optimize machine learning models, perform data analysis, and collaborate with teams in a FinTech environment.

The Data Scientist will develop statistical and machine learning models, analyze datasets, design experiments, and collaborate with stakeholders to deliver insights and decision-support tools, often in AWS environments.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The role involves designing and analyzing experiments for Open Connect, building experimental tooling, delivering insights, and collaborating with cross-functional teams.

Seeking a Data Scientist II to develop AI systems for biomedical applications. Responsibilities include building data pipelines, optimizing AI algorithms, and collaborating with researchers to enhance biomedical research efforts.