Data Scientist- Hardware Quality (Hybrid)

Posted 21 Days Ago
Be an Early Applicant
San Jose, CA, USA
Hybrid
168K-277K Annually
Senior level
Cloud • Information Technology • Internet of Things • Professional Services • Software
The Role
Transforms hardware quality data into strategic insights through statistical analysis, correlation studies, predictive modeling, automated data pipelines, monitoring systems, and data visualizations. Connects quality metrics across the product lifecycle, identifies root causes and data gaps, and develops automation solutions. Partners with quality, engineering, operations, and executive teams to improve workflows and support strategic decisions through clear, persuasive data storytelling and presentations.
Summary Generated by Built In
The application window is expected to close on: 10/05/2026

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This is a hybrid role based twice a week in the Cisco San Jose Office.

Meet The Team

We are part of Cisco’s Supply Chain Operations. You will join our Hardware Quality team, a diverse group of quality and failure analysis engineers who collaborate closely with our design, manufacturing, supplier, and customer engagement teams. In this role, you will transform complex data into actionable insights, empowering our hardware teams to anticipate and meet the evolving quality expectations of our customers.

Your Impact

As a Quality Data Scientist at Cisco, you will be instrumental in transforming complex data into strategic insights that drive business decisions. This role uniquely combines quality domain expertise with advanced data analytics capabilities. We are seeking a professional with hands-on quality experience who can bridge the gap across quality operations and management processes to data science. The ideal candidate understands quality processes from the ground up and can translate quality requirements into actionable data strategies, not just someone who analyzes data in isolation. Success in this role combines not only understanding the data and advanced analytics but also combining it with exceptional communication skills crafting compelling data stories and executive messaging.

Key Responsibilities:

  • Leverage quality domain knowledge to identify critical quality indicators and translate them into measurable data requirements and analytical frameworks.
  • Conduct advanced statistical analyses and correlation studies to uncover meaningful patterns and relationships in large datasets. 
  • Connect disparate quality metrics across the product lifecycle to create holistic views that reveal systemic patterns and root causes.
  • Bridge quality operations and data analytics by understanding end-to-end quality processes, identifying data gaps, and designing automated solutions that address real-world quality challenges.
  • Develop and refine predictive models and analytical frameworks to support business initiatives. 
  • Design and implement automated data pipelines and monitoring systems that proactively detect quality issues and trigger preventive actions.
  • Collaborate with cross-functional teams to integrate diverse data sources and ensure data integrity. 
  • Translate complex analytical findings into clear, persuasive narratives tailored for executive audiences. 
  • Design and deliver impactful visualizations and presentations that align data insights with organizational goals. 
  • Partner with quality engineers and operations teams to understand their challenges firsthand and develop data-driven automation solutions that enhance efficiency.
  • Continuously improve data workflows and analytical methodologies to enhance efficiency and precision.

Required Knowledge and Aptitudes:

  • Statistics: Deep understanding of statistical methods, hypothesis testing, and data modeling techniques. 
  • Quality Management Processes: Experience with product quality management
  • Correlation Analysis: Proficient in identifying and interpreting relationships between variables to inform decision-making. 
  • Communication and Storytelling: Skilled in crafting data-driven stories that effectively engage and influence executive leadership. 
  • Executive Messaging: Experience in developing concise, strategic presentations and reports for senior stakeholders.
  • This role is critical to Cisco’s mission of leveraging data to drive innovation and business growth, requiring a blend of analytical rigor, quality focus, and exceptional communication skills to deliver impactful outcomes.

Minimum Qualifications

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
  • 7+ years of professional experience in data science, analytics, or a related discipline, with demonstrated expertise in statistical analysis and quality management. 
  • Proven track record of applying correlation analysis and advanced statistical techniques in a business context. 
  • Experience working with executive teams to build data-driven narratives and influence strategic decisions. 
  • Proficiency in programming languages such as Python or R, and familiarity with data science libraries and tools. 
  • Experience with big data platforms and data visualization tools is highly desirable

Preferred Skills

Master’s degree preferred.

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 $186,700.00 to $240,600.00 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:

$186,700.00 - $276,600.00

Non-Metro New York state & Washington state:

$168,000.00 - $244,200.00

* 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.

Skills Required

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field
  • 7+ years of professional experience in data science, analytics, or a related discipline
  • Demonstrated expertise in statistical analysis and quality management
  • Experience with product quality management processes
  • Proven experience applying correlation analysis and advanced statistical techniques in a business context
  • Experience working with executive teams to build data-driven narratives and influence strategic decisions
  • Proficiency in Python or R and familiarity with data science libraries and tools
  • Experience with big data platforms and data visualization tools
  • Master's degree

Cisco Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.

  • Healthcare Strength Health coverage is described as robust with multiple plan options and access to onsite/virtual LifeConnections Health Centers on major campuses. Company materials also highlight mental-health resources and comprehensive preventive care, supporting strong core medical benefits.
  • Leave & Time Off Breadth Time away includes company‑wide recharge days, a paid birthday, a year‑end shutdown, and paid Critical Time Off for emergencies. Paid volunteer days further expand opportunities to step away and recharge.
  • Parental & Family Support Policies include a global minimum for paid parental leave for primary caregivers, caregiving concierge services, and on‑site children’s learning centers in select locations. In the U.S., family‑building support is consolidated under Carrot with a defined lifetime maximum, indicating structured assistance across fertility, preservation, adoption, and surrogacy.

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The Company
HQ: San Jose, CA
77,500 Employees
Year Founded: 1984

What We Do

Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.

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