Top Remote Data Science Jobs in Indianapolis, IN

Lead the development of healthcare data products, improve data quality, and collaborate with cross-functional teams. Mentor junior engineers and apply statistical techniques in data processing.

The Data Scientist will analyze data, develop models, collaborate across teams, and support strategic projects to drive insights and growth.

As a Senior Data Scientist at Gradient AI, you'll design predictive models for insurance underwriting, analyze large datasets, and collaborate with cross-functional teams.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

The Assistant VP, Data Scientist will develop and deploy AI applications, collaborate with stakeholders, and lead AI initiatives within the bank.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

Lead the development of a data science practice at TRIMEDX, focusing on AI and machine learning to optimize clinical asset utilization and reduce operational costs. Oversee AI roadmap, advanced data modeling, and support commercialization of market solutions through data-driven insights.

Principal Data Scientist role focuses on developing predictive models for underwriting in healthcare using advanced machine learning techniques and large datasets. Collaborate across teams to drive data-driven solutions and stay updated on industry trends.

Design and implement predictive models using machine learning for underwriting and patient care. Analyze healthcare data to inform strategies and collaborate with cross-functional teams.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The Lead Data Scientist will create data-driven marketing solutions, collaborate with clients in the CPG and Retail sectors, and utilize machine learning techniques to enhance marketing strategies.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Lead cross-functional data science initiatives, prototype ML models, and enhance procurement optimization strategies while mentoring junior team members.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

The Health Outcomes Data Scientist will analyze real-world health datasets to improve patient outcomes, leveraging data science methods and cross-functional collaboration to support healthcare cost reduction.

The Data Scientist II (RWD) will analyze real-world insurance claims and EHR data, conduct statistical analysis, and develop AI models while collaborating with experts to produce insights and communicate findings.

The Staff Data Scientist will lead the design and implementation of AI solutions for fraud detection, mentor team members, and collaborate with various stakeholders to deliver robust data products.