Data Science Intern
Hewlett Packard Enterprise
ETLInformaticaPython
Data Scientist
Hewlett Packard Enterprise
full-time
Posted on:
Location Type: Hybrid
Location: Spring • California, North Carolina, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $60,800 - $181,200 per year
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
- Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent.
- Typically 0-2 years experience.
- 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 buildingmodel validationdata science methodologiesdata mappingdata migrationdata visualization techniques
Soft skills
communication skillspresentation skills
Certifications
Bachelor's degree in Data ScienceBachelor's degree in StatisticsBachelor's degree in Operations ResearchBachelor's degree in Computer Science
