Top Hybrid Data & Analytics Jobs in Austin, TX

The Privacy Analyst Associate I at Imprivata monitors customer privacy programs, analyzes alert data for suspicious activity, and supports the management of multiple customer accounts. Responsibilities include documenting investigations, ensuring compliance with contractual obligations, and contributing to best practices in documentation and processes.

As a Data Archivist, you will handle archival processes for digital and physical game title data, maintain an IP asset index, migrate data to an archival system, acquire asset sharing approvals, respond to metadata requests, train users on the archive system, and manage quality control of metadata records. You'll collaborate with various teams to ensure asset integrity and accessibility.

As a Part Time Student in Data Science and Analytics at John Deere, you will lead and support data science projects, analyze data, collaborate with teams, and present findings using analytics techniques. This role requires availability during academic years and summers for significant hours of work.

As a Staff Data Scientist at Udemy, you will develop machine learning models, adapt methods for business solutions, design experiments, and mentor team members. You will lead projects that enhance learning experiences through personalization and contribute to cross-functional collaborations.

In this role, the Staff Machine Learning Engineer will develop and lead an AI/ML strategy to enhance customer support, collaborating across teams to implement natural language understanding systems and improve user experience at Canva.

As a Senior Data Scientist at Iodine, you will leverage vast amounts of healthcare data using machine learning and statistical algorithms, collaborate with cross-functional teams, mentor junior staff, and conduct research on natural language processing. Your role will involve developing predictive insights, performing data analysis, and creating frameworks for data optimization.

The AI & GenAI Data Scientist will leverage advanced analytics and machine learning to transform data into actionable insights. Responsibilities include developing predictive models, conducting statistical analyses, and creating data visualizations to solve complex business problems while collaborating with clients to understand their needs and select appropriate models.