Hewlett Packard Enterprise advances the way people live and work. We bring together the brightest minds to create breakthrough technology solutions, helping our customers make their mark on the world.
Our new innovative IT services organization is HPE Pointnext. We have the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation.
Hewlett Packard Enterprise’s system and software engineers develop solutions using the latest technologies. We’re currently looking for hands on, curious engineers that want to grow their technical abilities in a large scale worldwide development team.
As a Data Scientist, you will work within the Applied Intelligence work stream with a goal to enhance the customer experience and to enable customers solve issues virtually. Utilising data, machine learning and intelligence techniques, you will balance the release of incremental, measurable improvements to customers with an ambition to be expert in Applied Intelligence by continual learning, experimentation, framework definition and standard setting.
In a typical day as a Data Scientist, you would:
Work in an agile software engineering team building solutions for customers in Applied Intelligence and Chat Bot application.
Collaborate with engineering, architecture and product management to build meaningful customer outcomes.
Have a passion for technology, take pride in what you code and exhibit technology best practices.
Proactively analyse data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, to identify trends and opportunities for growth.
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets.
Create and maintain rich interactive reporting and visualization based on data mining and analysis of various reporting components from multiple data sources
Develop processes and tools to monitor and analyse model performance and data accuracy.
Participates in regular demonstrations of new work to the product owners and business stakeholders
Have Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
Have 4-6 years’ experience.
Have knowledge and experience of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Have knowledge and experience of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Have knowledge in text analytics and pre-processing (word 2 vect, Baggage of words).
Have knowledge in Deep Learning (Sequential, CNN, RNN) and keras framework.
Have knowledge and experience of Enterprise Level development, and knowledge in programming and tools using statistical computer languages (R, Python, SLQ, etc.)
Join us and make your mark!
• A competitive salary and extensive social benefits
• Diverse and dynamic work environment
• Work-life balance and support for career development
• An amazing life inside the element! Want to know more about it?
Then let’s stay connected!
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.
HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status