Top Senior Level Data Science Jobs in Austin, TX

Join a high-performing Data Science team to drive actionable insights across Customer Support Products. Leverage advanced statistical analysis and machine learning to shape product development and measure success. Partner with cross-functional teams to deliver analytics for programs or products.

As a Senior Data Scientist, you will lead technical delivery of strategic projects, develop algorithms and models, collaborate with teams, establish performance metrics, and communicate insights to stakeholders.

As a Decision Scientist at Acrisure, you will consult with a cross-functional team to build an analytics and tech stack for growth in financial services. Your responsibilities include delivering best-in-class analytics for corporate initiatives, providing data-driven insights and recommendations, and enabling self-service tools for stakeholders. You will play a key role in transforming insurance distribution and underwriting through data and analytics.

Join Fox Robotics as a Senior Data Scientist to work on creating processes, systems, and dashboards that scale. Responsibilities include identifying problems, collecting and organizing data, developing insights, and collaborating with cross-functional teams.

Architect data pipelines, optimize model performance, establish metrics, lead and mentor data scientists, analyze and solve problems using technology

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.