Data Scientist
Hewlett Packard Enterprise
ETLInformaticaPython
Data Science Intern
Hewlett Packard Enterprise
internship
Posted on:
Location Type: Hybrid
Location: Spring • California, North Carolina, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $35 - $46 per hour
Job Level
Entry Level
Tech Stack
ETLInformaticaPython
About the role
- 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.
Requirements
- 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 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.
Benefits
- Health & Wellbeing
- Personal & Professional Development
- Unconditional Inclusion
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisdata validationmetadata developmentExploratory Data Analysis (EDA)model buildingdata science methodologiesdata mappingdata transferdata migrationmachine learning
Soft skills
communication skillspresentation skills
