Data Science Intern

HPE
US - Massachusetts - Andover
October 31, 2024

Data Science Intern

This role has been designed as 'Hybrid' with an expectation that you will work on average 2-3 days per week from an HPE office.

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 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.
If you are looking to stretch and grow your career our culture will embrace you.
Open up opportunities with HPE.

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.

The Data Scientist Intern will apply basic knowledge of the job skills and company policies and procedures to be part of the analysis and validation of data sets, solutions, and the end-user experience.
This intern will aid in the development, enhancement, and maintenance of a client's metadata based on analytic objectives.
This intern will load data into the infrastructure and contribute to the creation of the hypothesis matrix and prepare a portion of the data for the Exploratory Data Analysis (EDA)/hypotheses.
Develop thorough understanding of the general/technical aspects of the job.
Works on assignments that are routine to moderately complex in nature and require ordinary problem resolution, such as contribute to building models for the overall solution, validating results and performance, and selecting the model that supports the overall solution, will support the research, identification, and delivery of data science solutions to problems.
And will support the visualization of the model's insights, user experience, and configuration tools for the analytics model.
Receives general instructions on all work.
Works under limited supervision and normally receives no instruction on routine work and general instructions for new assignments.

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 ***/main/new-hire-enrollment.html.

USD Hourly:
$28.50 - $54.75 Estimated job application period closure is May 2025.
While this is the expected application time frame, there are many factors which may result in a change.
If this position is still open beyond the anticipated closure time frame, it is likely HPE is still actively recruiting for this role and all qualified and interested candidates are encouraged to apply.

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.

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Read the full job description and apply online on the recuiter's web-site

Data Science Intern

Data Science Intern

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