
Principal Data Scientist
Work with diverse teams to understand business problems to solve β Customers, Engineering, Product Management, DevOps, Solution Architects, and Support. Gather data from disparate sources and build analytical experiments, models, reports, and dashboards using different data science techniques. Evaluate multiple approaches to the same problem with an eye for pros/cons for each. Clearly convey the significance of findings with an assessment tailored to individual problems, as well as the larger strategic impact for the business as a whole. Lead projects and guide other analysts/engineers. Ensure production quality methods to retrieve, condition, validate, synthesize, and manipulate data. Participate in customer and analyst meetings to understand and analyze their problems, and to present research results. Act as an ambassador for Broadcom, recruiting and motivating top talent.
8+ years of professional experience in quantitative analysis, research, data science or engineering
Familiarity with building data or machine learning pipelines
Data visualization experience with tools such as: Grafana, Kibana, or creating dashboards and charts via Python or R
Familiarity with Enterprise IT Operations, AIOps or Observability domain is a plus
Python
Java
R
Docker
Tensorflow
Keras
Pytorch
Grafana
Kibana
Time Management Skills
NetworkX
Process Improvement
Verbal communication
Driven and self-motivated
written communication
Attention to detail
Problem Solving Skills
Flexibility/Adaptability
Multi tasker
According to JobzMall, the average salary range for a Principal Data Scientist in 250 Innovation Dr, San Jose, CA 95134, USA is $122,819 - $172,942 per year.
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Broadcom Inc. is an American designer, developer, manufacturer and global supplier of a wide range of semiconductor and infrastructure software products, Broadcom's product portfolio serves the data center, networking, software, broadband, wireless, and storage and industrial markets.

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