Top Data Science Jobs in Cincinnati, OH

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.

As a Senior Data Scientist, you'll develop metrics for system availability and reliability, collaborate with engineering teams, and analyze performance issues using data.

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 Senior Data Scientist, you will leverage machine learning and statistical techniques to solve complex business problems and drive product innovations. You will collaborate with cross-functional teams and analyze data to help shape product strategies and decisions.

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

The Data Scientist will build data solutions, analyze datasets, collaborate with engineers, and develop tools for data consumption at Juul Labs.

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

The Senior Data Scientist will analyze the impact of models on user outcomes, design measurement frameworks, and collaborate with ML Engineers and Analysts to improve product experiences.

The Senior Data Scientist will build predictive models, enhance machine learning algorithms, and drive data product strategy in a remote setting at Urgently.

The Senior Data Scientist will develop generative AI solutions, engineer ML workflows, analyze ServiceNow data, and collaborate on technical solutions, aiming to enhance business intelligence through data-driven insights.

As a Data Scientist II, you'll analyze data, build predictive models, and collaborate with teams to enhance efficiency and provide insights.

The Staff Data Scientist will lead the design and implementation of machine learning models, drive data-driven decision making, and mentor team members while ensuring high performance and reliability of ML systems.

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

As a Data Scientist II, you'll provide data-driven insights, ensure data integrity, analyze data, build predictive models, and collaborate with cross-functional teams.

The Staff Data Scientist will lead studies using real-world healthcare data to drive drug discovery, collaborating with cross-functional teams and generating patient-centered insights.

The Data Scientist will analyze LLM search data, define core metrics, run experiments, build predictive models, and collaborate with teams to enhance product strategy and marketing effectiveness.

The Senior Data Scientist will develop scalable ML models, analyze large datasets for insights, and collaborate with teams to enhance business performance through data-driven solutions.

As a Lead Data Scientist, you'll leverage advanced analytical methods to solve complex business problems, mentor junior team members, and interact with clients while developing innovative solutions through data analysis and modeling.

The Senior Data Scientist will lead data-driven decision making, collaborate with cross-functional teams, and translate data into actionable insights while guiding product strategy and experimentation.

As a Senior Data Scientist, you'll drive goal-setting, influence decision-making through experimentation, and collaborate to architect data foundations while mentoring team members.

Analyze complex datasets, build machine learning models, and collaborate with teams to deliver data-driven insights in a remote-first culture.

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

As a Lead Data Scientist, you'll extract insights from large datasets, develop predictive models, and optimize processes while collaborating with teams.