Lead Data Scientist

  • Location:
    San Jose, California, US
  • Area of Interest
    Engineer - Software
  • Job Type
    Professional
  • Technology Interest
    Big Data, Analytics, Cloud and Data Center
  • Job Id
    1026983
What You'll Do

Lead Data Scientist

You will have a highly technical, yet multifaceted role: starting from real use cases, you will analyze complex, large and diverse data sets in support of the development team in charge of releasing the product, and you will interface with a wide range of experts in the field, reporting directly to a Cisco Fellow.

Your work assignments will be based on high-level team goals. You thrive in a fast-paced, dynamic environment requires a unique blend of innovation and speed of execution.

Our technology stack includes Python, Java, Scala, C++ as well as a wide range of internal tools built on top of Docker, Kubernetes, Cassandra, Kafka, Spark, Hadoop, Pandas and a variety of front-end visualization technologies (D3.js, WebGL, HTML5).

We are looking for a highly technical Lead Data Scientist, with strong and practical knowledge on data mining and statistics who will ideally have experience in machine learning. For this position, you must be highly “hands-on” with a deep technical expertise and experience in building distributed and scalable data pipelines for ETL and Machine Learning and analyzing large heterogeneous datasets to create data pipelines from high scale (and potentially noisy) datasets. You also need to have outstanding oral and written communication (presentation) skills since you will interact with other data scientists and machine learning engineers in the team, but also other teams of networking subject matter experts.

If technology and innovation is your passion, Cisco is the place for you.


 Who You'll Work With

We are building a team of highly talented engineers for a confidential and strategic project with high visibility on Machine Learning & Networking.

As a team, we have built one of Cisco's next-generation advanced threat detection system by combining cutting-edge machine learning algorithms and architectures with best-in-class networking technologies (with dozens of patents). Now, we are tackling our next challenge!


Who You Are

Desired qualifications

  • ·         PhD in Engineering (computer science, robotics, math, statistics, machine learning)

·         Experience building data pipelines for production systems at large scale

·         Hands-on expertise of Python for ETL tools and data analysis (Numpy, Scipy, Pandas, Scikit-learn, Matplotlib, Jupyter, PySpark)

·         Knowledge of UNIX environments (Ubuntu), scripting skills (e.g., awk, shell)

·         Experience with the following technologies is a plus:

o   Analytics, visualization and dashboards (Grafana/Kibana, InfluxDB, Bokeh, D3.js, etc.)

o   Streaming data pipelines (e.g., Apache Kafka, Apache Spark, Apache Beam)

o   Big data stores (e.g., Apache Cassandra)

o   Data processing workflows (Luigi, Apache Airflow )

o   Microservices architectures and container technologies (e.g., Docker, Kubernetes

    • Experience with training and evaluation machine learning algorithms is a plus.
    • Excellent English spoken and written skills  is a must.
    • 8 to 15 years of industrial experience
     

·         

 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.
*LI-CB1

 

Powered By