Data Scientist

Role Overview

This is a hybrid role based in RTP, North Carolina, US. Members of the Finance organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions. The team builds the shared foundation that lets hundreds of finance professionals use AI on their real work: a data layer that refreshes every morning, AI agents that answer questions from live data in plain English, and an internal marketplace that puts those tools in everyone’s hands.

What You Will Do

You will own our Data Layer, the Power BI semantic model behind our finance AI tools, and use it as the base for what we build next. You will own and extend the semantic model, including table relationships, DAX measures, dataflows, refresh schedules, and role-based access, and keep it maintainable with Git, clear documentation, and controls that follow Cisco data-handling and AI policies.

Why It Might Be a Fit

You will partner with FP&A teams and our AI Champions network to turn business questions into data requirements and explain what the data can and cannot answer. You will design and ship new tools with coding agents, such as Python automations, machine learning models, agent skills, custom dataflows for individual teams, and connectors to new systems.

Requirements

• Bachelor’s degree in data science, statistics, computer science, engineering, economics, finance, or a related field
• 3+ years of experience in data science, analytics engineering, or business intelligence
• 3+ years of proven ability building and maintaining Power BI semantic models, including star-schema data modeling, DAX, Power Query (M), and dataflows in the Power BI Service or Microsoft Fabric
• 3+ years of proven ability writing SQL against large datasets, including Snowflake, using joins, window functions, and CTEs
• 3+ years of proven experience using Python for data processing, API calls, and automation, with code managed in Git
• 1+ year of experience using coding agents such as Claude Code, OpenAI Codex, or GitHub Copilot to build and ship working tools, including reviewing, testing, and correcting agent-written code

Benefits

• Dental insurance
• Vision insurance
• 401(k) plan with a Cisco matching contribution
• Paid parental leave
• Short and long-term disability coverage
• Basic life insurance
• Paid time away
• Optional 10 paid days per full calendar year to volunteer
• Annual bonuses subject to Cisco’s policies
• Performance-based incentive pay on top of base salary