Top Data Science Jobs in Cincinnati, OH

The role involves utilizing advanced analytics to extract insights from data, develop AI/GenAI solutions, and manage cross-functional teams while building relationships with clients.

Lead the Modeling and AI Enablement function within Marketing Data Science, guiding AI strategies, model development, and governance while managing a team of data scientists.

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.

Lead the design and development of scalable machine learning systems, mentor data scientists, and influence product roadmaps to enhance customer experience and business outcomes.

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.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

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

As a Data Scientist, you'll design and implement innovative models, conduct exploratory data analysis, and mentor others while developing scalable algorithms using machine learning techniques.

As a Data Scientist, you will build machine learning models, manage data pipelines, and contribute to healthcare analytics to drive product growth.

The Data Scientist will support various projects involving predictive modeling, machine learning, and data visualization while collaborating with teams to enhance business processes.

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.

The Associate Data Scientist will conduct research, predictive modeling, and analytics to drive business results and enhance customer segmentation models.

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

The Senior Data Scientist will lead advanced analytics and AI/ML model development, collaborating on projects, mentoring junior members, and applying statistical expertise for strategic insights.

The Senior Data Scientist will analyze business challenges, conduct experiments, develop metrics, and collaborate with teams to drive data-driven decisions and user growth.

The Data Scientist will analyze ambiguous problems, drive data-driven decision making, manage data metrics, and lead experimental rigor while collaborating with teams to improve Coinbase products.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

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

This role involves developing analytics solutions, financial modeling, and enhancing decision-making for commercial clients, while driving team training and innovation in data practices.

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 Data Scientist, you will enhance business strategies through data science methods, focusing on Experimentation, Causal Inference, and improving member experience. You will collaborate with various teams to execute roadmaps and present research insights.

The Staff Data Scientist will lead revenue forecasting efforts, develop models in Python, and communicate insights to senior leadership while mentoring other data scientists.

The Staff Data Scientist leads revenue forecasting and reporting, develops and maintains models, and communicates insights to senior leadership.

The Data Scientist will analyze data sets, develop predictive models, collaborate with stakeholders, and visualize insights to drive business growth.