Welcome to the new Hewlett Packard Enterprise where we help customers use technology to turn ideas into value. In turn, they transform industries, markets and lives. We’re in the acceleration business and we’re here to help you go further, faster.
We help customers use technology to slash the time it takes to turn ideas into value. In turn, they transfor...
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Design, build, train, evaluate, deploy, and monitor statistical and machine learning models for the Aruba UXI product
Work with developers, engineers, product managers and cross-enterprise data science teams to build machine learning and AI-Ops capabilities that our customers need
Identify and communicate opportunities to product and engineering stakeholders and drive selected opportunities to production
Provide data curation, visualization, analysis and modelling support for business
Designs enhancements, updates, and develops changes for subsystems and systems.
Writes and executes complete testing plans, protocols, and documentation for architecture.
Provides guidance and mentoring to less- experienced staff members.
About you;
Preferred Masters degree in a scientific, technical or numerical discipline
5+ years of experience
2+ years using Python
Proficient in Python and the Python numerical stack (Numpy, Pandas, Sklearn, Matplotlib, etc)
Ability to work with multiple data sources to retrieve, combine, clean and preprocess data for modeling
Experience in building statistical or machine learning models
Ability to explain models and highlight their advantages and limitations
Ability to work with developers to deploy models in production
Experience in developing, deploying and supporting SOA/microservices.
Excellent written and verbal communication skills.
Strong analytical and problem-solving skills.
Our systems use the following technologies, so experience with the following is beneficial but not essential:
Gmail
Yahoomail