Data Scientist

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Cloud • Information Technology • Internet of Things • Professional Services • Software
The Role
Design and implement automated data pipelines and predictive models to improve hardware quality. Perform advanced statistical and correlation analyses, partner with engineering and operations to detect issues, build monitoring systems, and present data-driven insights to influence executive decisions.
Summary Generated by Built In

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, you will be instrumental in shaping Cisco’s quality strategy. You will move beyond isolated data analysis to create holistic, systemic views of the product lifecycle. Your work will involve designing automated data pipelines, developing predictive models, and crafting compelling narratives that influence executive decision-making. By partnering with quality engineers and operations teams, you will implement data-driven solutions that proactively detect issues and enhance overall organizational efficiency.
 

Minimum Qualifications

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
  • Minimum of 7-10 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.
  • Strong problem-solving skills, attention to detail, self-driven, and ability to manage multiple priorities in a fast-paced environment.
  • Proficiency in programming languages such as Python or R, with familiarity in data science libraries and tools.
     

Preferred Qualifications

  • Master’s degree in a quantitative field.
  • Proven experience in crafting data-driven stories and strategic presentations for senior executive leadership.
  • Hands-on experience with big data platforms and advanced data visualization tools.
  • Deep understanding of end-to-end quality management processes and the ability to identify and bridge data gaps within operations.
  • Experience in designing and implementing automated monitoring systems that trigger preventive actions.
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. 

Skills Required

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field
  • 7-10 years professional experience in data science, analytics, or related discipline with expertise in statistical analysis and quality management
  • Proven track record applying correlation analysis and advanced statistical techniques in a business context
  • Strong problem-solving skills, attention to detail, self-driven, ability to manage multiple priorities
  • Proficiency in programming languages such as Python or R and familiarity with data science libraries/tools
  • Master's degree in a quantitative field
  • Experience crafting data-driven stories and strategic presentations for senior executive leadership
  • Hands-on experience with big data platforms
  • Experience with advanced data visualization tools
  • Deep understanding of end-to-end quality management processes and ability to identify and bridge data gaps
  • Experience designing and implementing automated monitoring systems that trigger preventive actions

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 Comprehensive medical, dental, and vision coverage, mental health support via an EAP, and access to on-site or virtual health centers indicate robust healthcare offerings. Wellness programs, fitness resources, and specialized services further reinforce coverage depth.
  • Leave & Time Off Breadth Generous PTO, a global minimum for paid parental leave, and unique programs like company-wide recharge days and paid volunteer time expand time-away options. Additional offerings such as Critical Time Off and adoption assistance add flexibility for life events.
  • Equity Value & Accessibility Restricted stock units and a discounted employee stock purchase plan are meaningful elements of total compensation. The prominence of equity can materially augment overall pay packages alongside salary and bonuses.

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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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