1+ months

Data Scientist - Enterprise Networking

Cisco Systems Inc.
San Jose, CA 95113
  • Jobs Rated
    7th
Please note this posting is to advertise potential job opportunities. This exact role may not be open today, but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

What You'll Do

  As a Data Scientist, you will lead  technical discussion, and implementation of projects related to growth areas. You'll help us evaluate Data science technologies and determine applicability to current and future projects. You will design new software product features, help drive projects to completion, define system technical use cases and specification in alignment with business/product requirements.  

 Who You'll Work With

  Our software products and technology are behind many of the world's most innovative businesses, leading Cisco's growth in multiple markets. We develop products that leverage technologies from leading-edge capabilities like big data, analytics, Machine learning. Pioneering agile methodology, we are building a customer-centric culture with self-contained and motivated teams that have clear visibility to our customers. The Ops analytics team develops systems of insights in the area of IoT, Cloud, Data Center, Network and Service Provider. We are excited to have you join our team of experienced software engineer to work on projects that have global impact on the EN organization. In these projects, technical leader collaborates very closely with the business strategy, product management as well as engineering and the execution teams. 

 Who You Are

  You've got a strong background in Data Science, Machine Learning, Deep Learning system architecture, design, implementation and deployment. You have deep knowledge of software development background, on open source cloud technologies and application platforms and are a strategic thinker (system level) that can look at the big picture, abstract workflows and provide technical assistance in technology to be used at the strategic level. If so, we're looking for you! 

Our Minimum Requirements are:

  *  Masters degree in computer science or equivalent

  * 3+ years of experience in applying ML, DL in building ML/DL based systems and Strong Computer Science fundamentals (algorithms, data structures)

  * Working experience with building ML models, Neural Networks, or any Deep Learning techniques

  * Extensive experience solving analytical problems using quantitative approaches, operations research and optimization algorithms

  * Comfort manipulating and analyzing complex, high-volume, high dimensionality data from varying sources

 * Experience with Big Data technologies (Hadoop and other frameworks in Hadoop ecosystem, Elasticsearch, etc.)

  * Fluency and facility with one or more of the following programming languages: Java, Scala, Python and the machine learning languages such as R.

  * Knowledge of tools such as SPARK, TensorFlow, Microservices, Kafka, HDFS, HBase

  * Excellent written and oral communication skills, able to communicate with all levels of internal technology teams and business teams

 

Desired Skills:

  * Passion for answering hard questions with data  

Why Cisco

  We connect everything: people, processes, data, and things. We innovate everywhere, taking bold risks to shape the technologies that give us smart cities, connected cars, and handheld hospitals. And we do it in style with unique personalities who aren't afraid to change the way the world works, lives, plays and learns.   We are thought leaders, tech geeks, pop culture aficionados, and we even have a few purple haired rock stars. We celebrate the creativity and diversity that fuels our innovation. We are dreamers and we are doers.   We Are Cisco.

 

 


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Jobs Rated Reports for Data Scientist

Posted: 2019-06-07 Expires: 2019-10-06

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Data Scientist - Enterprise Networking

Cisco Systems Inc.
San Jose, CA 95113

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Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

Work Environment
Very Good
32/220
Stress
Very Low
41/220
Growth
Very Good
35/220
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