Top Remote Principal Data Scientist Jobs in Austin, TX

As a Principal Data Scientist, you'll leverage machine learning to enhance customer financial experiences and drive product innovation. Your role involves collaborating across teams, refining machine learning models, and establishing data science standards while focusing on customer impact and financial inclusion.

The Senior Data Scientist will focus on analyzing and providing insights into Babylist's fulfillment and operations, particularly within the supply chain. This role involves collaborating with multiple teams to improve processes and data-driven decision making, with a strong emphasis on reporting and predictive modeling.

As a Senior Data Scientist, you will partner with business leaders to advance analytics and operational insights using tools such as Tableau and SQL. Your role involves creating impactful visualizations, optimizing business strategies, and driving efficiency in a dynamic environment while addressing complex challenges and opportunities.

As a Staff Data Scientist at Upstart, you will analyze models, identify improvement opportunities, and report findings to stakeholders. You'll collaborate with the Machine Learning team to build and evaluate models, ensure code quality, and drive data-driven decision-making for business impact.

As a Data Scientist II at Oscar, you will utilize AI/ML to enhance member engagement, analyze data usage, and demonstrate the value of communication channels. You will be expected to collaborate with peers, mentor junior staff, and maintain data processes while delivering analytical solutions with minimal oversight.

The Senior Manager of Data Science will lead a team of data scientists, translating business goals into actionable plans, establishing technical vision, and overseeing the development and maintenance of data models and pipelines to improve Oscar's clinical operations. The role involves collaboration with multiple stakeholders to enhance care quality and efficiency.

The Senior Data Scientist develops models and conducts analyses to support and enhance business operations at Oscar. Responsibilities include managing data scientists, collaborating with various functional areas, and maintaining data pipelines and analytical models.