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Top Data Science Jobs in Indianapolis, IN
The Senior DBA is responsible for managing and maintaining the database infrastructure, ensuring high performance and availability, and collaborating across teams to implement new technologies. Key responsibilities include schema deployment, privilege management, monitoring systems, and enhancing database architecture for global expansion.
The Data Scientist will design and optimize 3D data collection and computer vision technologies. Responsibilities include implementing algorithms, developing software for data processing and visualization, and collaborating with teams for project objectives while staying updated on technological advancements.
Data Specialists manage data exports and imports, perform quality assurance, and assist clients with technical support. They analyze and validate data while ensuring compliance with client schedules. The role involves client training and maintaining effective communication for troubleshooting and reporting purposes.
The Revenue Operations Analyst will optimize the tools and processes for the sales and post-sales teams, manage reporting and insights, execute projects, and collaborate cross-functionally to improve business operations and efficiency.
As a Principal Data Scientist, you will develop machine learning models for pricing optimization and demand forecasting in the hotel industry. Leading projects and guiding junior team members, you will apply statistical and machine learning techniques to inform strategic decision-making and enhance revenue management offerings.
The Data Scientist (Product) will leverage statistical tools and machine learning to build innovative data solutions aimed at enhancing the marketing performance of clients. Responsibilities include designing workflows, developing models, maintaining data science processes, and collaborating with cross-functional teams to visualize and operationalize data insights.
The Data Scientist role at Nielsen focuses on developing methodologies and automating model processes in the Marketing Cloud team. Responsibilities include data analysis, model building, and contributing to innovative products that enhance digital media measurement and marketing effectiveness.
The Senior Data Scientist leads the delivery of AI/ML solutions in healthcare, mentoring data scientists and overseeing key projects. Responsibilities include designing end-to-end AI/ML solutions, fostering professional growth in the team, and advocating for data-driven decision-making.
The Field Application Scientist will provide technical expertise, conduct presentations and training, support customers with LICORbio products, and assist in sales and marketing efforts. This role requires extensive travel for customer demonstrations and support.
The role involves developing algorithms and applications for analyzing reliability data, performing statistical analysis, and utilizing machine learning to predict product reliability. Additional responsibilities include building data-driven applications, organizing insights from data, and ensuring model scalability across solutions.
Top Companies in Indianapolis, IN Hiring Data + Analytics Roles
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