Top Data Science Jobs in Columbus, OH

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

The Data Scientist will build fraud detection models using machine learning, analyze datasets for insights, and collaborate across teams to advance identity verification solutions.

As a Data Scientist at Experian, you'll develop advanced analytics solutions, build machine learning models, automate workflows, and translate insights for various teams, enhancing decision-making across the organization.

As a Junior Data Analyst, you will analyze AI model performance and communicate insights, support project teams, and create presentations for impact assessment.

The Staff Data Scientist will drive strategic initiatives in Reddit's ad ecosystem, develop advanced models, and collaborate across teams to optimize advertising efforts.

As a Data Scientist in Risk & Fraud, you'll analyze data trends, build predictive models, and collaborate with teams to inform business strategies. You'll conduct experiments and improve data quality processes.

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.

As a Data Scientist at Super.com, you'll apply machine learning, conduct data analyses, collaborate with teams, and develop predictive models.

The Staff Data Scientist will advance claim audit models, enhance data pipelines, measure impact, and collaborate to ensure healthcare data aligns with business needs.

Lead the technical vision for pricing guidance algorithms at Airbnb, develop pricing strategies, and provide technical leadership to cross-functional teams.

As a Data Scientist, you'll develop machine learning models focused on computer vision, optimize pipelines, and analyze complex datasets.

The Data Scientist II estimates, develops, and implements consumer credit models related to mortgage metrics and utilizes statistical methods and machine learning. This role involves cloud computing, data analysis, and communication of findings to nontechnical teams.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

Develop and implement fraud detection models using machine learning. Collaborate with teams and analyze data to enhance fraud prevention strategies.

The Senior Staff Data Scientist will lead AI/ML initiatives, developing algorithms for business insights, collaborating across functions, and implementing advanced methodologies in forecasting and optimization.

The Staff Data Scientist will develop models for balancing patient demand and Registered Dietitian supply, optimize staffing and scheduling, and collaborate with multiple teams for data-driven decision making.

As a Data Scientist, you'll design and develop reports, collaborate on complex problems, and employ machine learning techniques to drive insights for clients.

The Data Scientist role involves analyzing complex datasets, developing machine learning models, collaborating with cross-functional teams, and contributing to data strategies for improving cancer care.

Looking for a Data Scientist with experience in ML and AI alignment research to work on client projects and alignment research.

As a Data Scientist at Ziplines, you will develop data models, create dashboards, and deliver insights to influence strategic decisions across teams.

As a Senior Data Scientist, you will develop models to extract insights from complex datasets, focusing on temporal and geospatial features, while collaborating with engineering teams to implement solutions.

As a Senior Data Scientist, you will design forecasting models, analyze user behavior, and build data pipelines to drive business strategies and insights at Mozilla.

Responsible for developing predictive models to drive business strategy, identifying data trends, creating reports and dashboards, and collaborating across teams.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

Design and build recommendation and personalization systems, conduct A/B testing and causal inference, and mentor the data team in best practices.