Top Remote Data Science Jobs in Austin, TX

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.

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.

Manage data analysts and scientists focused on payments products and compliance. Responsible for data analytics, team growth, and cross-functional partnerships.

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.

The Senior Data Scientist will identify, manage, and analyze data, create visualizations and reports, and solve business problems through data insights.

The Sr Director Data Analytics leads data analytics initiatives, guiding enterprise leaders with insights and helping teams succeed with priority projects.

The Senior Data Scientist analyzes complex data to develop analytic solutions, influences business strategy, and makes decisions on technical approaches.

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

The Senior Scientist in Clinical Analytics will implement data analytics strategies, deliver insights through advanced analytics, and collaborate with stakeholders to drive business efficiencies and decisions.

Oversee advanced analytics and model development for compliance; collaborate with stakeholders, manage projects, and ensure regulatory adherence.

Develop and implement statistical models for data analysis, collaborate with teams for process improvement, and present findings to management. Stay updated on data science and machine learning advancements.