Top Data Science Jobs in Indianapolis, IN

The Research Scientist will focus on productionalizing and deploying machine learning models within the Personal Loans, Underwriting team. Responsibilities include building and maintaining risk evaluation models, collaborating with the Machine Learning team, and applying statistical and machine learning methods to improve Upstart's lending marketplace.

The Senior Data Scientist (AI) at Cedar focuses on leveraging AI and data to enhance patient payment solutions. Responsibilities include developing AI features, creating curated datasets, collaborating with engineering, and advocating for new AI opportunities. The role requires significant experience in AI/ML and APIs, along with technical leadership in a cross-functional environment.

The Data Scientist will analyze and interpret complex supply chain data, develop predictive models, and collaborate with teams to optimize supply chains and drive business growth. Responsibilities include processing large datasets, applying statistical models and machine learning algorithms, and communicating data insights to stakeholders.

The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.

As a Data Science Co-op at Jellyfish, you will develop algorithms to analyze software development practices, contribute to marketing research, learn machine learning model deployment, create analyses for customers, and explore research in computer science and applied mathematics.

The Data Science Manager at Garner will develop care navigation algorithms and analytics while managing a team of 4-6 data scientists and analysts. This role will involve leading data science initiatives and ensuring the success of the company’s healthcare mission.

As a Senior Data Scientist, you will develop AI/ML solutions to enhance commercial insurance processes. Key responsibilities include model development, feature engineering, performance monitoring, and collaborating with product and engineering teams. You'll leverage deep learning and NLP to create predictive models for pricing and underwriting while ensuring model robustness and interpretability.