Data Science Intern

Key Skills

Agile methodologies, Data Modeling, Data science techniques, ETL frameworks, Feature Extraction, IBM CPLEX, Java Programming, Machine learning techniques, Mathematics, Python Programming, R Programming, SAS, SPSS Statistics, SQL, Statistics, Talend

Job Description

At HPE, our team members search beyond customers' needs today to accelerate what’s next and make a difference — for others, our company, and the planet. Our customers turn to us because we are positive, empathetic, and enterprising. We embrace opportunities to accelerate this transformation across data, connectivity, cloud, and security. And together we make what was once thought impossible, possible.

That’s why we not only give you the space to grow into the professional you want to be, but we also embrace who you are and where you come from. We also value the flexibility and autonomy to balance work and personal needs in a way that works best for you.

A career as a Data Science Intern allows you the opportunity to designs, develop, and apply programs, methodologies and systems based on advanced analytic models (e.g., advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Our internships provide you with an opportunity to gain real world experience and make an immediate impact at HPE. You’ll get assigned meaningful projects, gain exposure to leaders, and connect with other interns. Key aspects of our internship program include learning and professional development, social and networking events, and volunteer opportunities.

What you'll do:

You will design, develop, and apply programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. You will utilize your data visualization techniques knowledge to translate analytic insights into understandable business stories (e.g., descriptive, inferential, and predictive insights).

You will embed analytics into client’s business processes and applications. You will combine business acumen and scientific methods to solve business problems. You will utilize machine learning, data integration, modeling skills and Extract, Transform Load (ETL) tools (e.g. Infomatica, Ab Initio, Talend).

The technology:

Analytics software (e.g., R, SAS, SPSS, Python, Cplex) and other data programming languages

Locations:

• San Jose, CA
• Roseville, CA
• Fort Collins, CO
• Bloomington, MN
• Houston, TX

What you’ll need:

• Working towards a Bachelor’s/Master’s degree with a focus in computer science, statistics, mathematics, electrical engineering, or relevant area
• Basic knowledge of data science methodologies
• Have a working proficiency in effective use of analytics software (e.g., R, SAS, SPSS, Python, Cplex) and data programming languages
• You are fully comfortable working in a hybrid (virtual and face-to-face) environment

What we’d prefer you bring:

• GPA of 3.0 or higher
• The drive to seek out what’s next and to deliver exceptional results
• A collaborative, solution focused spirit and overall sense of urgency
• The desire to embrace new ideas and fresh thinking and seek out ideas different than your own
• Experience as an active leader on campus who strives to make a positive impact on the world
• Comfort with working in a hybrid (virtual and face-to-face) environment
• Exceptional communication and presentation skills and the ability to ask smart questions

HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status