Description
Hewlett Packard Enterprise is seeking a Data Science Intern to join their team. As a Data Science Intern, you will work on average 2 days per week from an HPE office. The role involves designing, developing, and applying programs, methodologies, and systems based on advanced analytic models to transform structured and unstructured data into meaningful and actionable information insights that drive decision making.
Responsibilities:
- Participate in the analysis and validation of data sets, solutions, and user experience.
- Aid in the development, enhancement, and maintenance of a client's metadata based on analytic objectives.
- Contribute to building models for the overall solution, validate results and performance, and select the model that supports the overall solution.
- Support the research, identification, and delivery of data science solutions to problems.
- Support 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 (e.g., R, SAS, SPSS, Python).
- Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (e.g., Informatica, Ab Initio, Talend).
- Basic communication and presentation skills.
- Basic data knowledge of relevant data programming languages.
- Basic knowledge of data visualization techniques.
What We Can Offer You:
- Health & Wellbeing: comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.
- Personal & Professional Development: investment in your career with programs to help you reach your career goals.
- Unconditional Inclusion: inclusive work environment that celebrates individual uniqueness.
Salary: The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. United States of America: Hourly Salary USD 35.00 - 40.25