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Top Data Science Jobs in Indianapolis, IN
The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.
The Data Scientist, Product Development will enhance data quality and usability through the design of systems and tools, engage with cross-functional teams to define product requirements, and leverage statistical techniques to improve Verantos' real-world evidence platform.
As a Senior Data Scientist, you will analyze large datasets, design analysis pipelines, and collaborate with engineers to convert clinical needs into technical solutions. You will lead the development of machine learning models and present findings to various stakeholders, contributing to the delivery of impactful digital health solutions.
Join Butter's ML team to optimize the recovery of failed payments by identifying an optimal sequence of retry attempts using novel techniques. Conduct model iterations and AB tests to enhance product performance. Requires 5+ years of data experience, strong statistics background, and knowledge of ML.
As a Sr. Data Scientist at Houzz, you will collaborate across teams to define and launch data science initiatives, manage key business metrics, design experiments, and own project execution to provide actionable insights that drive product development and business direction.
The Tax Data Specialist is responsible for maintaining tax profile data, processing customer profile updates, managing cases related to tax inquiries, and ensuring data accuracy in systems like TaxEx and Workday. They provide support for payroll tax data analysis and assist customers with filing impacts while maintaining quality metrics.
The Credit Risk Analyst will develop credit strategies using advanced analytics tools and machine learning models to improve credit performance. Responsibilities include conducting A/B tests, developing loss forecasting projections, and collaborating with various teams to implement and monitor strategies, all while ensuring compliance with regulatory requirements.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
The Revenue Operations Analyst supports the full customer lifecycle in collaboration with Marketing, Customer Success, and Sales Leadership. This role focuses on optimizing revenue tools, maintaining data integrity, improving processes, managing leads, and supporting deal structures to drive business growth and enhance team productivity.
The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.
Top Companies in Indianapolis, IN Hiring Data + Analytics Roles
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