Hybrid Data Science Intern: Edge-to-Cloud Analytics

Hewlett Packard Enterprise Development LP; Spring, Northern (TX, KY); Hybrid; USD 48,000 - 55,000; Full time

Job summary

Hewlett Packard Enterprise Development LP in Spring, Texas is seeking a Data Science Intern to work in a hybrid mode with an average of 2 days per week in an office. You will assist with data analysis, model development, and visualization, contributing to client solutions and insights.

The role targets students pursuing a Bachelor's or Master’s degree in IT-related fields, offering exposure to data science methodologies and tools such as Python and R.

Qualifications

• 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.
• Basic knowledge of data science methodologies.
• Basic data mapping, data transfer and data migration skills.

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.
• 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.

Skills

Data science basics

Analytics software

Python

R

SAS

SPSS

Data visualization

Communication skills

Education

Bachelor’s or Master’s degree (in progress)

Job description

Hewlett Packard Enterprise Development LP in Spring, Texas is seeking a Data Science Intern to work in a hybrid mode with an average of 2 days per week in an office. You will assist with data analysis, model development, and visualization, contributing to client solutions and insights.

The role targets students pursuing a Bachelor's or Master’s degree in IT-related fields, offering exposure to data science methodologies and tools such as Python and R.