Data Science Intern

Key Skills

Data science techniques, Leadership Skill, Machine learning techniques, Operations, Python Programming, R Programming, SAS, SPSS Statistics, Statistics

Job Description

A career as a Data Science Intern allows you the opportunity to 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. Our internships provide you with an opportunity to gain real world experience and make an immediate impact at HPE. You’ll be 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: 

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. 

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
• Alpharetta, GA
• Durham, NC
• Chippewa Falls, WI
• Andover, MA

What you’ll need: 

• Working towards a Bachelor’s/Master’s degree with a focus in computer science, data science, statistics, mathematics, 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 

At HPE, we’re: 

• Ranked 19th on Fortune’s 2022 list of 100 Best Companies to Work For 
• Ranked 7th on Newsweek’s list of America’s Most Responsible Companies 2022 
• Named a Best Place to Work for Disability Inclusion for the sixth year in row 
• Named one of the 100 Best Large Workplaces for Millennials in 2021 
• Recognized as one of the Best Companies for Multicultural Women by Seramount 

Ready to take the next step? Open up opportunities with HPE. 

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

interns 

Additional Skills:

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Engineering

Job Level:

N/A

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.

Hourly: $28.50 - $34.50

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. Please click here: Equal Employment Opportunity.