Top Remote Data Science Jobs in San Antonio, TX

As a Staff Data Scientist, define and lead high-impact data science initiatives, develop machine learning models, and mentor teams to drive data-driven decision making across the organization.

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.

As a Senior Data Scientist, you will develop insights to guide product strategy, enhance experimentation practices, and mentor junior data scientists.

The Lead BSA Data Scientist develops advanced models to enhance Bank Secrecy Act compliance and Anti-Money Laundering efforts, leveraging data analytics to detect fraud and improve risk assessment methodologies.

The Sr. Director, Data Science leads product development, oversees execution of data science initiatives, manages a team, and collaborates with stakeholders to enhance kidney care through data-driven solutions.

As a Senior Data Scientist, you'll analyze complex data sets for insights, develop predictive models, apply statistical techniques, and collaborate with cross-functional teams while mentoring others.

As a Staff Data Scientist, you'll analyze complex datasets, guide product strategies with insights, and enhance data infrastructure reliability.

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 Principal Data Engineer, you will define architectural solutions for clients, design data platforms, and mentor junior team members while proposing end-to-end solutions for data management issues.

The Data Scientist II estimates, develops, and implements consumer credit models related to mortgage metrics and utilizes statistical methods and machine learning. This role involves cloud computing, data analysis, and communication of findings to nontechnical teams.