Top Data Science Jobs in Columbus, OH
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As a Senior Data Scientist at Pie, you will develop best-in-class AI/ML solutions for commercial insurance, focusing on pricing, underwriting, and claims models. Collaborating with multiple teams, you'll enhance data-driven decision-making, conduct model diagnostics, and support deployment and automation of scalable ML pipelines that meet real business challenges.
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
The People & Culture Lead Data Scientist analyzes employee data to provide insights that drive decision-making in HR. Responsibilities include developing predictive models, creating data visualizations, ensuring data quality, and advocating for data literacy within the organization.
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The Associate Scientist II in MS&T will support the technology transfer of viral vector processes into GMP production, collaborating with cross-functional teams to define critical process parameters, assist with GMP execution, and analyze manufacturing data for optimization.
As an Ecommerce Data Analyst at Greif, you will collect and manage datasets, ensure data quality, analyze user behavior, and create dashboards to provide insights for strategic decision-making. You'll collaborate with teams to optimize user experience and support business initiatives through data-driven insights.
As a Staff Data Scientist at Root, you will lead research initiatives to enhance risk segmentation and pricing strategies, manage a lead data scientist, and influence pricing model innovation. Your role involves collaborating with multiple departments, mentoring team members, and driving large-scale data science projects while pushing industry standards.
The SQL DBA role involves the installation, preparation, and configuration of the database layer, ensuring smooth database operations.
The Revenue Analyst will review Statements of Work, manage professional services billings, support services teams, assist with month-end close processes, and improve operational processes for the global revenue team, ensuring accuracy and compliance.
The Data Scientist is responsible for applying data science principles and methods to solve complex problems and deliver actionable insights. Key responsibilities include using statistical and algorithmic techniques, managing R&D processes, and communicating insights to stakeholders. The role emphasizes collaboration, autonomy, and innovation in crafting data-driven solutions.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
Top Companies in Columbus, OH Hiring Data + Analytics Roles
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