Data Scientist Hybrid

The application window is expected to close on: 04/10/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This role is hybrid. Onsite 3 days per week in Atlanta, Austin, Raleigh (Research Triangle Park) or San Jose Meet the Team Join our dynamic team at the forefront of AI innovation within Cisco’s AI and Automation Center! We are a passionate, multi-disciplinary group of operations analysts and data scientists who wear many hats in a fast-paced, ever-evolving environment. We value collaboration, extreme adaptability, continuous learning, and using technology to make a massive real-world impact on how our business operates. Position Summary We are looking for a highly versatile Full-Stack Data Scientist who blends exceptional technical expertise with the strategic perspective of a process owner and business lead. In this role, you will use advanced AI and Data Science methodologies to automate, streamline, and improve existing business processes across Operations. The ideal candidate has deep expertise across the entire data science lifecycle—including data engineering, modeling, and analysis—combined with extremely strong partner engagement skills. You must be comfortable navigating ambiguity, driving business outcomes, and bridging the gap between pioneering technical development and strategic operational needs. Your Impact As a Data Scientist in the AI and Automation Center, you will be at the heart of transforming our internal operations. You will tackle a diverse array of challenges, from automating manual operational workflows with LLMs to acting as the technical/business lead for large-scale organization initiatives. This is an exciting opportunity to act as both a technical builder and a business leader, shaping the future of our operations and directly impacting the efficiency of our entire organization. Key Responsibilities Process Ownership & Business Leadership: Act as a process owner and business lead for critical operational workflows, using data science to identify inefficiencies and architect automated solutions. Lead and support diverse, high-visibility strategic programs, adapting quickly to shifting priorities. AI Modeling, Automation, and Analysis: Design, develop, and optimize machine learning models and generative AI solutions to automate and enhance existing business processes. Perform exploratory data analysis to uncover operational bottlenecks, generate actionable insights, and inform solution development. Continuously monitor and refine deployed models and automated workflows to improve performance and accuracy. Stakeholder Engagement & Communication: Work closely with multi-functional business partners to deeply understand their pain points and translate them into robust technical requirements. Communicate complex technical concepts effectively to non-technical team members, operations analysts, and executive leadership. Build strong relationships across the organization to drive adoption of AI tools and automated processes. Trust, Security & Continuous Improvement: Establish and manage feedback loops to gather user input on internal tools and improve automated systems. Ensure the integrity, security, and confidentiality of internal data used and generated by AI solutions, staying in sync with relevant regulations. Minimum Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field with 7 years; Master’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field with 4 years Proven experience as a Data Scientist, with a strong focus on machine learning, process automation, and generative AI. Strong programming skills in Python Preferred Qualifications Experience in building and deploying AI-driven applications and automation tools that drive internal operational efficiencies. Highly adaptable with a proven tra ... (truncated, view full listing at source)