Hewlett Packard Enterprise is looking to transform structured and unstructured data into meaningful and actionable information insights that drive decision making by designing, developing and applying programs, methodologies and systems based on advanced analytic models.
Requirements
- 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 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.
Other
- 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 communication and presentation skills.
- This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
- This requestion may be classified as on desk or hybrid depending on location and role.
