Data Science Graduate

This role has been designed as ‘‘Hybrid’’ with a requirement that you will work on average 2 days per week from an HPE office., This requisition may be classified as on desk or hybrid depending on location and role.

Job Family Definition:

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data

into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition:

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

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.
• Supports visualization of the model’s insights, user experience and configuration tools for the analytics model.

Data Science, Data Science, Hewlett-Packard Product Family, Analysis Skills, Cloud Computing, Computer Science, Operations Research, Unstructured Data, Programming Methodologies, Statistics, * Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent.

• Typically 0-2 years experience.

• United States of America: Annual Salary USD 66,800 - 126,000 in Colorado // 71,700 - 136,300 in Massachusetts // 71,700 - 145,300 in California // 62,900 - 145,300 in Minnesota & North Carolina & Texas & Wisconsin

The listed salary range reflects base salary. Variable incentives may also be offered.”

For the Data Scientist position, (master’’s degree candidates): “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: Annual Salary USD 85,600 - 163,000 in Colorado // 92,700 - 175,700 in Massachusetts // 92,700 - 187,500 in California // 81,500 - 187,500 in Minnesota & North Carolina & Texas & Wisconsin

The listed salary range reflects base salary. Variable incentives may also be offered.”

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE., HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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