Cisco is a global technology company with a focus on telecommunications, networking gear, and software. It was established in 1984 by Leonard Bosack and Sandy Lerner, and since then, it has developed into one of the most well-known names in the technology sector.
Cisco: Data Science Analyst
Businesses and organisations all around the world use Cisco technologies to build and manage computer networks, enhance cybersecurity, and improve communication. In order to maintain its position as a leader in the sector, the company is dedicated to innovation and makes significant investments in R&D. With programmes based on diversity, sustainability, and education, Cisco also enjoys a solid reputation for CSR.
Position Description
The chance to interact with the technology we produce at Cisco is remarkable. Our ethos is based on three fundamental ideas:
We are Pioneers.
Our main goal is to foster corporate transformation through innovation while maintaining operational excellence.
As Accelerators, we
We hasten the adoption of digital technologies to not only produce cost savings but also to support business growth and achievement.
As Transformers, we
With our agility, dedication to quality, and strong security measures, we change the customer experience as pioneers in being the first to use our goods. We continuously provide our clients with real-world business results.
| Company Name | Website | Job Role | Work Location | Job Type | Experience | Qualification | Batch | Package |
|---|---|---|---|---|---|---|---|---|
| CISCO | www.cisco.com | Data Science Analyst – (Intern) | Bangalore, India | Internship | Freshers | Graduation | 2024 passout only | 30-40k per Month |
Your Associates
The Cisco ONEx Strategy & Planning Business Insights team provides innovative and flexible solutions to satisfy client requests while also raising Cisco’s profitability. This team has expertise in two broad areas and works together smoothly to allow business breakthroughs through analytics.
These are the Specialised Domains:
Engineering Data
Data Analytics and Data Science
A profile of you
- Data Science and analytics expertise; 0–2 years of practical experience
- Able to collaborate across departments and exhibit strong business analytics skills
- Prior experience in service-related work, particularly familiarity with operational and financial data, would be desirable
- Effective communication skills, including the capacity to transmit analyses and present them
Essential Competencies
- Skilled at analysing operational and financial data
- Capable of manipulating data and extracting insights from huge datasets using statistical programming languages (such as R, Python, SQL, etc.).
- Understanding the advantages and drawbacks of various machine learning techniques, such as artificial neural networks, decision trees, and clustering.
- In-depth knowledge of cutting-edge statistical principles and techniques (such as regression, distribution characteristics, statistical tests, and relevant applications), as well as practical experience
- Extract data from company databases and analyze it to improve business methods, marketing plans, and product development.
- Review the accuracy and efficiency of new data sources and data collection techniques.
- Create specialised data models and algorithms for use with datasets.
- Expertise in managing several concurrent assignments, keeping to deadlines, and maintaining standards of quality
- Convert complex data findings into language appropriate for business and offer suggestions
- Superb verbal and written communication ability to support cross-team coordination
- A desire to understand and master cutting-edge techniques and technology
- The capacity to glean actionable insights from data, transform those findings into insightful business insights, and persuasively deliver those ideas.
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