Top Data & Analytics Jobs in Austin, TX

As a Research Scientist at Upstart, you will focus on productionalizing, deploying, and training machine learning models, particularly for assessing the risk of personal loan applicants. You will collaborate with a talented team on innovative approaches in a fast-paced environment, leveraging your expertise in statistics and machine learning to build and maintain core models.

The Privacy Analyst I at Imprivata will accelerate customer privacy programs by monitoring alerts for suspicious activity, documenting incidents, and maintaining strong customer relationships. Responsibilities include customer education, regulatory compliance, and contributing to best practices. The role focuses on ensuring effective privacy solutions and achieving high customer satisfaction.

As a Senior Digital Analytics Analyst, you will collaborate with product, marketing, and engineering teams to manage and optimize digital analytics tracking, ensuring data quality and governance across web and mobile experiences. Key responsibilities include implementing analytics tools, data validation, resolving discrepancies, and maintaining tracking standards.

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 Data Engineer at Snap Inc, you'll develop data pipelines and ensure data quality while working closely with stakeholders across various domains. You'll be responsible for supporting and maintaining data infrastructure and translating complex business processes into technical solutions.

As a Compensation Analyst, you will participate in compensation surveys, audit and enhance compensation databases, develop compensation models, and partner with recruiters and other teams to create competitive compensation offers. You will be involved in the administration and communication of compensation programs.

The Staff Machine Learning Engineer will lead the development of AI/ML strategies to enhance customer support experiences at Canva, focusing on natural language processing systems, collaboration with product and engineering teams, and building machine learning models.