Data Science Analyst

Meet the team:

The AutoQuote team at Cisco builds and operates the automated quoting platform that powers Cisco's global renewals business. Our mission is to generate accurate, ready-to-order quotes at scale — minimizing manual effort for partners and distributors, reducing booking friction, and driving simplification across Cisco's renewal workflows.

We are a product engineering team running a homegrown, cloud-native application hosted on GCP. Our stack is built on a microservices architecture orchestrated with Kubernetes, with Prefect managing our data and workflow pipelines, and Pub/Sub and REST APIs handling communication across services. We move fast, operate at scale, and are actively integrating AI capabilities into the core of what we build.

Your Impact:

We are seeking a skilled Data Science Analyst to join the AutoQuote team at Cisco. This mid-level engineering role focuses on building, maintaining, and improving the software features, data pipelines, and AI-powered capabilities that drive the AutoQuote platform. The ideal candidate is a proficient software engineer who can work independently on moderately complex features, collaborate effectively across the team, and leverage AI tools as a natural part of their development workflow.

AI fluency is a core requirement — candidates should be comfortable using LLMs, AI coding assistants, and prompt engineering techniques as everyday tools to accelerate development and improve code quality.

What You'll Do:

• Design and implement software features and enhancements within the AutoQuote application, working across backend services, data pipelines, and service integrations.

• Build and maintain data processing workflows using Prefect, GCP services, and REST APIs within a cloud-native microservices architecture.

• Write clean, well-tested code that adheres to team standards and passes CI/CD quality gates — Python proficiency is expected, with the ability to apply other languages as the problem requires.

• Actively use AI tools — including LLMs (Claude, Gemini, GPT) and AI coding assistants — to accelerate development, generate and validate code, and solve complex engineering problems.