Top Data Science Jobs in Indianapolis, IN
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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.
As a GenAI Data Scientist, you'll implement generative AI models, identify insights for business decisions, and collaborate with multi-functional teams. Your role involves developing AI tools, providing data-driven solutions, and conducting research on emerging trends in data science.
As a Principal Data Scientist II (AI), you will shape AI strategies and develop innovative AI solutions. Responsibilities include defining AI architecture, collaborating with data scientists, integrating AI capabilities across the platform, providing technical leadership, and driving product innovation.
The Senior Scientist will develop new tea and beverage systems, driving customer projects and product innovations. Responsibilities include formulating beverage systems, managing customer briefs, conducting trials, ensuring compliance with manufacturing practices, and collaborating with internal teams. The role requires a focus on safety, project management, and maintaining laboratory operations.
The Principal Scientist - Dissolution and Method Development role at Elanco involves developing and delivering dissolution methods, interpreting results, collaborating with various teams, driving drug product commercialization activities, and staying abreast of new technologies in the field of dissolution testing.
The Sr. Data Science Solution Architect leads the vision and solution delivery for healthcare data projects, providing technical leadership in machine learning and AI. Responsibilities include architecture design, model development, and collaboration with cross-functional teams to ensure successful implementation of AI-driven solutions in healthcare workflows.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
The Data Annotation Specialist will review and label video data to support machine learning projects, maintain organized records, and ensure data quality standards. This part-time role offers flexible hours while contributing to improving products for dog owners.
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.
Top Companies in Indianapolis, IN Hiring Data + Analytics Roles
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