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Top Data Science Jobs in Indianapolis, IN
The Data Scientist I role involves developing and monitoring quantitative models, analyzing large datasets using various analytical techniques, and collaborating with technology teams to implement models. Responsibilities include data management, model performance assessment, and advising management on trends and risks.
As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.
The Senior Data Scientist II will generate actionable insights to improve recommendations for members, analyze productionized ML models, and design experiments. The role requires a deep understanding of predictive analytics, SQL, and proficiency in Python for data manipulation and model building.
The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.
As a Senior Data Scientist, you will derive insights from large health datasets and develop AI tools for medication management. Your responsibilities include creating predictive models, assessing program impacts, and presenting findings to stakeholders.
The Sr. EDI Analyst will analyze and redesign business IT processes, focusing on EDI implementations within the healthcare sector. Responsibilities include developing technical specifications, refining mapping documents, collaborating with developers for testing, and ensuring high-quality product delivery within an Agile environment.
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Engage with senior leadership to provide analytics and insights on business performance, competitive analysis, and metric trends. Conduct exploratory data analysis to uncover insights that drive strategic decisions. Prepare and present reports and dashboards for senior-level audience. Develop and maintain operational models and data pipelines. Implement automated reporting solutions to streamline data analysis and presentation. Manage data and analysis requests from Investor Relations, Finance leadership, and executives.
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As a Senior Data Scientist at Slingshot, you will develop machine learning algorithms, create predictive models, build simulation datasets, and lead data science product development. You will collaborate within a diverse team to deliver insights and publications that contribute to space sustainability solutions.
As a Senior Revenue Operations Analyst, you will optimize revenue processes, guide stakeholders on best practices for sales and marketing, develop reports and dashboards, ensure data integrity, and lead revenue forecasting initiatives. Collaboration with cross-functional teams and hands-on experience with analytics tools is crucial for success.
The Data Scientist, Computer Vision at Sensei Ag will focus on creating machine learning models to automate greenhouse tasks. Responsibilities include collaborating with stakeholders to understand data needs, developing machine learning approaches, encoding algorithms into pipelines, and communicating insights effectively.
Top Companies in Indianapolis, IN Hiring Data + Analytics Roles
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