Top Data Science Jobs in Austin, TX

The Strategic Data Science Lead will drive innovative initiatives and strategic planning using data-driven approaches. Responsibilities include data collection, exploratory data analysis, model development, feasibility analysis, and stakeholder engagement to support strategic initiatives and enhance organizational growth.

As a Part-Time Student in Data Science and Analytics, you will support analytics projects, clean and analyze data, and present actionable insights. Collaboration with team members and stakeholders is essential for delivering data-driven solutions.

The Senior Data Scientist at Iodine will analyze complex healthcare data using machine learning techniques, lead multiple projects, mentor junior team members, and collaborate with technical and business teams to develop innovative solutions that drive healthcare innovation.

As a Senior Data Scientist at findhelp, you will lead analytical projects and build predictive models while collaborating with clients and cross-functional teams to create data-driven solutions. Your role involves ensuring project success through strong communication and applying business acumen to leverage data insights for impactful decision-making.

The Senior Manager, Data Science will lead a team of three Data Scientists, managing projects focused on strategic analytics, modeling, and performance measurement. The role requires collaboration with clinical programs and stakeholders to enhance healthcare delivery while driving cost efficiency. Responsibilities include developing data pipelines and models, along with participating in longer-term strategy planning.

The Principal Data Scientist will design, enhance, and build advanced fraud detection solutions, utilizing machine learning and data mining techniques. Responsibilities include developing management information systems, collaborating with stakeholders on technical data problems, and mentoring team members. The role focuses on improving Visa's payment ecosystem and delivering insights for strategic initiatives.

The Data Scientist will analyze large datasets to identify patterns and optimize performance. Responsibilities include automating data collection, preprocessing data, creating predictive models, and collaborating with engineering and product teams to develop solutions for business challenges.

The Senior Data Scientist develops models and performs analyses to improve business operations and support organizational goals. Responsibilities include managing data pipelines, statistical and machine learning models, and collaborating with data and business teams.