Data Scientist II

Job Description:

HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today’s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what’s next for you.

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.

What you'll do:

• Applies basic knowledge of the business need to formulate and define analytic objectives.  Uses available data elements, defines business rules, and solution objectives.
• Develops, enhances and maintains a metadata based on analytic objectives.  May load data into the infrastructure, creates hypothesis matrix, and identifies available data to prepare for the Exploratory Data Analysis (EDA) and hypotheses.
• Builds models to supports/contribute to the overall solution, validates initial model and validates results & performance after the implementation.
• Researches, identifies, and aids in delivering data science solutions to problem domain. Contributes significantly in measurement of business performance based on the model deployed. If needed, leads the model enhancements.
• Create visualization of the model's insights for easy consumption.

Education and Experience Required:

• Master´s degree in Statistics, Operations Research, Computer Science or equivalent preferred. Or Bachelor´s Degree in these areas and at least 2-3 years of relevant experience,

What you need to bring:

• Working knowledge of data science methodologies including but not limited to classical regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining.
• Understanding of supply chain business requirements, how they relate to data science objectives and how to translate them into mathematical models.  
• Strong background and working proficiency in effective use of analytics software (eg. R, Python, SAS, SQL) for model building, testing & deployment
• Experience with Docker, GitHub, Coding IDE platforms.
• Good to have knowledge of Alteryx
• Solid communication and presentation skills.
• Working knowledge of relevant data programming languages.
• Strong interpersonal skills and effectiveness in working across geographical boundaries.
• Working knowledge of data visualization tools - Tableau/Python.

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Job:

Job Level:

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

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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