Data Science Intern

Hewlett Packard Enterprise; Spring (TX); Hybrid; USD 25,000 - 36,000; Full time

Benefits offered by this job

Health & wellbeing benefits

Career development programs

Inclusive culture

Job summary

Hewlett Packard Enterprise is offering a Data Science Intern position that may be on desk or hybrid depending on location. You will assist in data analysis, build models, and support visualization and storytelling of insights.

We look for candidates pursuing a Bachelor's or Master’s in Data Science, Computer Science, or related IT field with basic data science knowledge and familiarity with Python/R. The role provides hands-on experience across analytics, ETL, and client data projects.

Qualifications

• Basic knowledge of data science methodologies.
• Basic understanding of business requirements and data science objectives.
• Basic data mapping, data transfer and data migration skills.
• Basic understanding of analytics software (R, SAS, SPSS, Python).
• Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (Informatica, Ab Initio, Talend).
• Basic communication and presentation skills.
• Basic data knowledge of relevant data programming languages.
• Basic knowledge of data visualization techniques.

Responsibilities

• Participates in the analysis and validation of data sets/solutions/user experience.
• Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
• Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.
• Supports the research, identification and delivery of data science solutions to problems.
• Supports visualization of the model's insights, user experience and configuration tools for the analytics model.

Education

Pursuing Bachelor's/Master's in CS/DS

Tools

R

SAS

SPSS

Python

Job description

Data Science Intern

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

This requisition may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies 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. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities

• Participates in the analysis and validation of data sets/solutions/user experience.
• Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
• Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.
• Supports the research, identification and delivery of data science solutions to problems.
• Supports visualization of the model's insights, user experience and configuration tools for the analytics model.

Intern Education & Experience Required

Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field.

Knowledge and Skills

• Basic knowledge of data science methodologies.
• Basic understanding of business requirements and data science objectives.
• Basic data mapping, data transfer and data migration skills.
• Basic understanding of analytics software (eg. R, SAS, SPSS, Python).
• Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).
• Basic communication and presentation skills.
• Basic data knowledge of relevant data programming languages.
• Basic knowledge of data visualization techniques.

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.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied 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. #unitedstates #interns

Job: Engineering Job Level: N/A

For the Analyst position:

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

• United States of America: Hourly Salary USD 35.00 - 40.25 in Colorado
• United States of America: Hourly Salary USD 35.00 - 40.25 in Massachusetts
• United States of America: Hourly Salary USD 35.00 - 40.25 in California
• United States of America: Hourly Salary USD 35.00 - 40.25 in Minnesota & North Carolina & Texas & Wisconsin

For the Scientist position:

The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

• United States of America: Hourly Salary USD 40.00 - 46.00 in Colorado
• United States of America: Hourly Salary USD 40.00 - 46.00 in Massachusetts
• United States of America: Hourly Salary USD 40.00 - 46.00 in California
• United States of America: Hourly Salary USD 40.00 - 46.00 in Minnesota & North Carolina & Texas & Wisconsin

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

The estimated job application period closure is May 25 2027; this timeline is provided for transparency and internal planning purposes.

Equal Employment Opportunity

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Equal Employment Opportunity is the Law

Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement E-Verify (US & PR only)

E-Verify

HPE is an E-Verify employer.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Disclosure of Sensitive Personal Data

Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.

Hewlett Packard Enterprise Technology innovation that fosters business transformation.

We Are In the Acceleration Business. We help customers use technology to slash the time it takes to turn ideas into value. In turn, they transform industries, markets and lives. Some of our customers run traditional IT environments. Most are transitioning to a secure, cloud-enabled, mobile-friendly infrastructure. Many rely on a combination of both. Wherever they are in that journey, we provide the technology and solutions to help them succeed.

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