Top Remote Data Science Jobs in Austin, TX

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

As Senior Director of Data Science at HighLevel, you will lead the data science and analytics strategy, focusing on modeling, experimentation, and insight generation to drive growth and inform product development. You will build and manage a global team, develop AI & ML solutions, and collaborate cross-functionally to ensure data-driven decision making.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

This internship focuses on clinical pharmacology and AI/ML modeling, providing experience in developing predictive models using clinical datasets.

The Senior Data Scientist will develop machine learning systems for fraud prevention, contribute to data pipelines, and mentor junior data scientists. This role involves working with complex data signals and collaborating across teams.

As a Staff Data Scientist at 15Five, you'll develop and integrate AI/ML models into performance management systems, conducting data analysis and statistical modeling to enhance business insights and outcomes.

Lead data science efforts for the Rentals Shopping pillar, driving strategy, modeling, experimentation, and cross-functional collaboration to improve user experience and business performance.

As Senior Data Science Manager, you'll lead the LTV team, driving strategic modeling of customer value, delivering insights to impact business decisions, and enhancing automation and reproducibility in data science workflows.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.