Top Data & Analytics Jobs in Austin, TX

The Senior Machine Learning & Computer Vision Engineer will lead efforts in building computer vision models for 3D dental scans, develop ML models for generative AI tasks, and collaborate with teams to enhance product offerings using massive datasets. The role emphasizes establishing best practices in MLOps and delivering rapid value to customers.

As a Senior Incident Responder, you will provide analysis and incident response for clients, triaging cybersecurity alerts, running vulnerability assessments, and performing forensic investigations. You will also onboard new clients and mentor team members while maintaining communication with clients to keep them informed of security events.

As a Manager, Data Analytics, you will lead the development of a data analytics team at Ontra, translating business challenges into metrics, driving actionable insights, and coaching the team in delivering high-impact solutions. This role requires problem-solving skills, resilience, and the ability to foster a data-driven culture within the organization.

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.

The Billing Analyst will manage client invoice processing, ensure accuracy, and handle accounts receivable. Responsibilities include reviewing contracts, interacting with customers for problem resolution, assisting with month-end close, monitoring collections, and supporting internal audits. The ideal candidate should have strong analytical skills, attention to detail, and a proactive approach to streamline processes.

The Senior Data Analyst will work within the Analytics team to analyze seller behaviors, define key metrics, and drive decisions that improve the Supply product's effectiveness. Responsibilities include conducting analyses, performing A/B testing, partnering with engineers, and communicating insights to influence product development.

As a Revenue Operations Analyst, you will optimize Go-To-Market processes, enhance data accuracy, and provide actionable insights for strategic decision-making. You'll collaborate with sales, marketing, and customer teams to improve revenue efforts, develop dashboards for KPIs, and support the implementation of scalable tools and technologies.