招聘
必备技能
Python
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.
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关于Cisco

Cisco
PublicCisco Systems, Inc. is an American multinational technology conglomerate corporation that develops, manufactures, and sells hardware, software, telecommunications equipment and other high-technology services and products focused on networking, cyber security and AI.
10,001+
员工数
San Jose
总部位置
$317B
企业估值
评价
4.3
10条评价
工作生活平衡
3.2
薪酬
4.1
企业文化
4.5
职业发展
3.7
管理层
3.8
78%
推荐给朋友
优点
Great team culture and supportive colleagues
Flexible hours and remote work options
Excellent benefits and competitive compensation
缺点
High-pressure and demanding work environment
Work-life balance challenges
Limited career advancement opportunities
薪资范围
0个数据点
Junior/L3
L2
L3
L4
L5
L6
L7
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist Grade 4
0份报告
$118,000
年薪总额
基本工资
-
股票
-
奖金
-
$100,300
$135,700
面试经验
4次面试
难度
3.0
/ 5
时长
14-28周
体验
正面 0%
中性 25%
负面 75%
面试流程
1
Application Review
2
Phone Screen
3
Technical Interview Round 1
4
Technical Interview Round 2
5
Behavioral Interview
6
Team Matching
7
Final Round
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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