Data Scientist

Cisco Systems, Inc.
paid time off
United States, California, San Francisco
201 3rd Street (Show on map)
Aug 01, 2025
The application window is expected to close on August 3rd Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This position requires that you commute to the San Jose, CA office 3 days a week. Meet the Team Cisco's Common Hardware Group (CHG) is the driving force behind the design and development of physical hardware across the company. Within CHG, the Analytics & Data Science team plays a meaningful role in empowering hardware innovation by providing cutting-edge data engineering, sophisticated analytics, and predictive modeling. Our team supports not only CHG but also key functions across Cisco, partnering with Supply Chain, Finance, Software, and more on hardware-related initiatives. As a high-visibility team, we work closely with executive leadership and on customer-facing projects that have a direct impact on Cisco's success.In this role, you will collaborate with the Field Quality & Failure Analysis team, a group within CHG dedicated to solving Cisco's most challenging hardware issues. This team works with some of our most valued customers, ensuring swift and detailed resolution of hardware failures while safeguarding customer trust and satisfaction. Together, our teams combine deep technical expertise and data-driven insights to uphold Cisco's dedication to quality and excellence. Your Impact As a Senior Data Scientist on the Analytics & Data Science team, you will play a pivotal role in empowering Cisco's hardware engineers with swift, actionable insights. Your work will directly influence how we understand and address hardware failures, ensuring our products meet the highest standards of quality and reliability. You will grow to become a leader and subject matter expert in Cisco hardware failure analysis.You will operate across the entire data stack: crafting and building data pipelines, creating intuitive dashboards, and conducting sophisticated statistical analyses to uncover trends and patterns in returned and failed devices. Your contributions will provide the visibility needed to answer critical questions and drive informed decision-making.Collaboration and initiative will be key to your success. You will partner with teams across supply chain, manufacturing, operations, and support to gather relevant data and ensure a complete approach to solving sophisticated hardware challenges. Ideal candidates will have strong communication skills, an analytical mentality, excellent organizational skills, and a bias to action. You bring a builder's mentality, ready to craft this new role by creating solutions from the ground up. Example Projects: Create a tool that surfaces a standard set of information for partners investigating hardware failures. Build a data pipeline that automatically combines data tables from different sources with automatic refreshes. Ensure data fidelity with automated checks on the pipeline.Analyze failure trends over time of devices from our manufacturing partners. Surface early identification of changes in failure rates. Find root causes of failures and changes in rates.Build a dashboard showing key metrics allowing partners to identify early issues before they become a systemic problemIdentify correlations and causal relationships between field failure rates and comprehensive manufacturing data, including metrics and classifications collected throughout the production and testing lifecycle. How can the manufacturing and testing process be adjusted to improve quality in the field?Develop novel methods and techniques for patents and defensive publications. Minimum Qualifications: 5+ years experience with SQL5+ years experience with data visualization tools (e.g., Tableau)5+ years experience working with core statistical concepts (e.g., regression analysis and unsupervised learning) in Python or R5+ years experience with version control systems (e.g., git) and data pipeline tools (e.g., dbt)Strong written and oral presentation skills. Able to communicate sophisticated concepts to a variety of audiences with different backgrounds Preferred Qualifications Ability to take initiative and work autonomouslyStrong analytical and critical thinking skills and attention to detailExperience in the hardware development industryMaster's degree or PhD in a quantitative field (e.g., statistics, physics, economics)Experience in causal modeling #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do.Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us.