Top Senior Level Data Science Jobs in Austin, TX

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.

The Senior Revenue Operations Analyst will manage sales incentives and commission processes, analyze performance trends, collaborate on pricing strategies, develop sales KPIs and dashboards, and identify process improvements. This role is essential for optimizing revenue strategy and aligning operations with business goals.

As a Senior Analyst on the Growth Analytics Team, you will utilize your analytical skills to drive data-informed decision-making, collaborate with cross-functional teams, lead experimentation and funnel analysis, and communicate insights to influence product strategy and customer acquisition efforts at Self Financial.

As a Data Scientist-Manager at PwC, you will lead data analysis initiatives that leverage advanced analytical techniques to extract insights from large datasets. You will manage development teams in creating AI and GenAI solutions, mentor team members, and ensure quality deliverables while collaborating with clients on business problems related to AI and Generative AI opportunities.

The Principal Data Scientist will lead the design and development of advanced fraud detection solutions for Visa’s payment ecosystem. This role involves collaborating with stakeholders to define business problems as technical data challenges, building data transformations, and developing adaptive learning algorithms to enhance risk prevention efforts.

The Sr. Data Scientist will support user privacy initiatives at Roku by leveraging data analytics, developing dashboards, pipelines, and A/B tests, and collaborating with teams to provide insights that guide product and strategic decisions.

As a Staff AI Researcher, you will develop AI solutions in healthcare, utilizing extensive medical data to train and fine-tune AI models. Your role includes building prototypes, redesigning data pipelines, and implementing generative models to enhance product workflows. You will collaborate with engineering teams and set standards for high-quality engineering processes.