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Top Data Science Jobs in Indianapolis, IN
The Research Scientist will drive research and development for a News Platform, evaluating document quality and detecting misinformation. Responsibilities include partnering with product managers, conducting independent research, designing experiments, and communicating findings effectively to cross-functional partners.
As a Solutions Analytics Data Scientist, you will enable partners to implement and optimize SentiLink products by analyzing data to demonstrate product value. Responsibilities include conducting evaluations, providing performance assessments, delivering insights into fraud trends, and collaborating with cross-functional teams.
The Sr. Revenue Systems and Operations Specialist will drive strategic and operational success in Revenue Operations by implementing processes, leading projects, ensuring data integrity, and enhancing the tech stack in collaboration with cross-functional teams.
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The Transition Support Data Specialist will provide support for onboarding and transitioning client accounts from newly acquired advisory firms. Responsibilities include data management, reporting, analysis, account transition planning, and process improvement initiatives to ensure smooth transitions and mitigate risks.
The Staff Research Scientist will leverage NLP expertise to develop AI technology for enhanced meeting experiences. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and shaping product quality. The role also involves collaborating with engineers to evaluate model performance and explore new capabilities from large-scale data.
The Revenue Fraud Analyst retrieves and analyzes data from USPS and Inspection Service systems to support revenue fraud investigations. Responsibilities include reviewing complaints, data mining for deficiencies and fraud, preparing detailed reports, and coordinating tasks to ensure completion for investigative projects.
As a Telematics Data Scientist at Tiger Analytics, you will leverage expertise in AI, machine learning, and geospatial technology to develop advanced analytics models and tools. Collaborating with cross-functional teams, you'll define technical problem statements, create efficient analytical models, and ensure their incorporation into data products to drive business value.
Hims & Hers is seeking candidates for future Analytics and Data Science opportunities to drive data-driven decisions and innovations across the company. The roles involve analytics, machine learning engineering, and building data solutions to enhance user experience and support business growth.
The Senior Data Scientist will lead data science initiatives, create data pipelines, analyze runner behavior data, develop analytical models, and collaborate across teams to inform product development. This role involves translating complex data into insights, managing projects, and ensuring data quality and accessibility for the Run Research team.
As a Subject Matter Expert, you will provide consulting services focusing on AI and Analytics Data Lakehouse Solutions, ensuring technical documentation's accuracy, validating solutions, and providing insights into modern data lakehouse technologies and configurations.
Top Companies in Indianapolis, IN Hiring Data + Analytics Roles
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