Top Senior Level Data Science Jobs in Austin, TX

The Director of Data Science - Marketing will lead a team of data scientists to drive business growth through data-driven insights and strategic analytics. Responsibilities include developing quantitative models, optimizing marketing campaigns, and guiding strategic business decisions through data analysis. This role is highly strategic and impactful in shaping the future of the company's core products.

As a Senior Data Operations Specialist at ServiceNow, you will be responsible for evolving foundational Data services and capabilities for AI and Machine Learning solutions, supporting engineering teams in data initiatives, and providing excellent customer support. You will work directly with business units and product managers to research, troubleshoot, and resolve data requests and issues in a timely manner.

Lead and mentor the B2B Marketing and Sales Data Science & Analytics functions, develop data science and analytics strategy, collaborate with executive stakeholders, and drive key decisions to optimize customer acquisition and retention.

The successful candidate will be responsible for leveraging their data science background to drive compliance monitoring data analytics initiatives.

The Senior Data Scientist at Bonterra is responsible for developing analytics and predictive models to support the capabilities in the platform. They will work closely with the team to optimize user experience and outcomes for enterprise-level software.

Responsible for retail marketing analytics, paid media analytics, and web analytics for Roku.com. Analyze data to optimize marketing campaigns and maximize value creation. Present analysis conclusions to business leaders and executive audiences. Develop automated dashboards and pipelines to support data needs. Advance marketing personalization efforts with strategic customer segmentation analyses.

Works as a subject matter expert in design and development of program methods to analyze big data sources. Performs statistical analysis, develops analytical models and algorithms, and communicates insights to business management. Requires Bachelor's Degree in Computer Science or related field, with 7-10 years of experience in ML for manufacturing. Must have experience in Semiconductor equipment or Manufacturing industry.