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Sobre este puesto de Data Scientist en Cisco

Cisco · Híbrido · RTP, North Carolina, US
The application window is expected to close on: 10/15/2026

This is a hybrid role based in RTP. 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.

 

Meet the Team

 

Networking and Collaboration Finance supports some of Cisco's largest businesses, including Campus Networking, Data Center Networking, Internet Infrastructure, Compute, Collaboration, and ThousandEyes. Our AI and Automation 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. We are a small team that builds things people use every day.

 

Your Impact

 

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. The model pulls from SAP HANA, Snowflake, and SharePoint and holds hundreds of millions of records across bookings, pipeline, forecast, units and ASP, annual order value, and OpEx, with revenue and gross margin coming next. Finance teams query it every day through agents in GitHub Copilot and Claude, so your work shows up directly in the numbers leaders use. You will report to the AI and Automation Leader for Networking and Collaboration Finance.

 

  • 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.
  • Bring new data domains into the model, such as revenue, gross margin, and COGS from Snowflake, tie each one out to official reporting, and build automated reconciliation checks that catch broken refreshes and mismatched numbers before finance teams see them.
  • Improve how AI agents read the model through measure descriptions, model metadata, test question sets, and the MCP connectors that let agents query live data.
  • 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.
  • 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.

 

Minimum Qualifications

 

  • Bachelor's degree in data science, statistics, computer science, engineering, economics, finance, or a related field and 3+ years of experience in data science, analytics engineering, or business intelligence, or a Master's degree in a quantitative field and 1+ years of experience.
  • 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.

 

Preferred Qualifications

 

  • Experience with finance or sales data such as bookings, revenue, pipeline, or OpEx, including fiscal calendars, period-over-period reporting, and SAP HANA as a source system.
  • Experience with Power BI and Fabric REST APIs, XMLA endpoints, deployment pipelines or CI/CD, and row-level security for confidential financial data.
  • Experience building MCP servers, agent skills, or applications on LLM APIs, and evaluating the accuracy of LLM-generated analysis.
  • Experience with statistical forecasting or machine learning methods such as time-series forecasting and regression, using libraries like scikit-learn or statsmodels.
  • Clear communicator who can explain technical work to non-technical finance audiences and enable others through training, documentation, or office hours.

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $139,500.00 to $180,000.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks.  Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

  • 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

  • Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

  • Additional paid time away may be requested to deal with critical or emergency issues for family members

  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;

  • 1% of incentive target for each 1% of attainment between 75% and 100%; and

  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$166,400.00 - $250,100.00

Non-Metro New York state & Washington state:

$152,700.00 - $221,900.00

* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

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Cómo se compara este salario de Data Scientist

Este puesto paga $159,750/yr — en línea con el rango típico para los puestos de Data Scientist.

$94,260 la mediana de $168,900 $251,887

Rango típico $132,500–$215,013/yr, a partir de 1,153 ofertas comparables de Data Scientist en JobsRadar (salario anualizado en USD). Ver datos salariales de Data Scientist →

Sobre Cisco

Cisconians power the future. We make impact as a team, innovating fast and fearlessly to create meaningful solutions on a large scale. The depth and breadth of our technology doesn't just benefit our customers – it also means limitless opportunities for us to experiment and learn. We understand the power each of our unique backgrounds bring when we work together. Because of that, we have a global network of thinkers, doers, experts, and curious creators who help one another do their life’s best work.

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