Top Remote Data Science Jobs in Austin, TX

The Senior Manager oversees the Data Science team, designing algorithms to improve claim payment accuracy and mitigate fraud within CareSource health plans. Responsibilities include managing data science functions, mentoring team members, and collaborating on innovative analytic solutions to enhance operational efficiency.

As a Senior Product Analytics Data Scientist at Guild, you will drive product strategy and accountability through analytics, experimentation, and KPI definition that aligns product investments and validates impacts.

The Senior Data Scientist will drive data-driven decisions for product and growth, build models, analyze experiments, and collaborate cross-functionally to enhance data accessibility and influence strategic initiatives.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.

Manage Data Science teams to generate data-driven healthcare solutions, establish a vision, prioritize tasks, and enhance team performance.

The Data Scientist role involves analyzing complex datasets, developing machine learning models, collaborating with cross-functional teams, and contributing to data strategies for improving cancer care.

As a Data Scientist II, you will develop fraud detection models, advance financial risk products, and conduct analyses, while writing production-ready code in a dynamic environment.

The Senior Data Engineer will develop data pipelines, enhance infrastructure, and integrate diverse healthcare data to support clinical AI solutions.

Join the Core Data Science team to ensure statistical rigor in product development. Collaborate across teams to enhance data-driven decisions and contribute technically.

As a Lead Data Scientist, you'll leverage advanced analytical methods to solve complex business problems, mentor junior team members, and interact with clients while developing innovative solutions through data analysis and modeling.