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Data Scientist 1176 views

What You’ll Do

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

Who You’ll Work With

The Cisco Customer Experience Platform(CXP) is transforming the future of the world’s networks through advanced software development. Their software products and technology are behind many of the world’s most innovative businesses, leading Cisco’s growth in multiple markets. CXP develops products that leverage technologies from leading-edge capabilities like big data, analytics, Machine learning. Pioneering agile methodology, CXP is building a customer-centric culture with self-contained and motivated teams that have clear visibility to their customers. Their team, CXP Innovation Lab, defines a strategic direction related to data to value technologies across the Cisco Customer Experience(CX) organization. The CXP Innovation Lab team develops systems of insights in the area of IoT, Cloud, Data Center, Network and Service Provider. They are excited to have you join their team of experienced data scientists and software engineers to work on projects that have global impact on the CX organization. In these projects, data scientist 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, they’re looking for you!

Their Minimum Requirements Are

  • Ph.D. or Master’s degree in computer science or equivalent
  • 7+ years of experience in building large scale, high performance, ML/DL based systems and Strong Computer Science fundamentals (algorithms, data structures)
  • Experience with Big Data technologies (Hadoop and other frameworks in Hadoop ecosystem, Elasticsearch, etc.)
  • 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
  • Fluency and facility with one or more of the following programming languages Java, Scala, Python.
  • 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

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

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Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia.

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