Job Description

Data Scientist
This role has been designated as \xe2\x80\x98Edge\xe2\x80\x99, which means you will primarily work outside of an HPE office. :
Who We Are:

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\xe2\x80\x99s complex world. Our culture thrives on finding new and better ways to accelerate what\xe2\x80\x99s next. We know diverse 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. Global Operations prioritizes putting customers and partners first by developing the workforce of the future. This involves strategic, inclusive, and collaborative working culture. At our core, we strive to uphold HPE\xe2\x80\x99s values \xe2\x80\x93 to partner, innovate and act \xe2\x80\x93 we are an organization that plan, source, and provide quality customer and partner experiences. 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\xe2\x80\x99s business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Applies developed subject matter knowledge to solve common and complex business issues and recommends appropriate alternatives. Works on problems of diverse complexity and scope. May act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process. Exercises independent judgment to identify and select a solution. Ability to handle most unique situations. May seek advice in order to make decisions on complex business issues. What you\xe2\x80\x99ll do: Responsibilities:

• Formulates and defines analytics solution objectives and technical requirements based on user needs, an understanding of business processes, industry requirements, and advanced analytic models (statistical, operations research, computing, process).
• Conceptualizes, builds, develops and enhances a client\'s analytic model. Selects the relevant analytic modeling methodology for the use case, available structured and unstructured data, cost and timing constraints to solve the business issue and deliver clear business focused insights.
• Embeds analytic models in an enhanced business process of operational system by collaborating with Application Developers. Responsible for measuring business performance based on the model.
• As a fully functioning analytics team member, applies best practices to analytics solutions and contributes to the development of improved best practices. Leads the model enhancements.
• Summarizes complex ideas by developing visual models to display insights to simplify user experience.
• Communicate the analytics solution to the appropriate stakeholders.
  What you need to bring:

Education and Experience Required:

• PhD degree in Statistics, Operations Research, Computer Science or equivalent preferred. Or Master\xc2\xb4s Degree in these areas and at least 2-3 years of relevant experience.

Knowledge and Skills:

• Advanced knowledge of advanced data science methodologies including but not limited to classical regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining.
• Ability to translate business requirements into mathematical models and data science objectives to achieve measurable business outcomes.
• Advanced understanding of analytics software (eg. R, SAS, SPSS, Python). Advanced understanding of analytics deployment architectures.
• Advanced machine learning, data integration, and mathematical modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).
• Advanced communication and presentation skills.
• Strong interpersonal skills and effectiveness in working across geographical boundaries.
• Working knowledge of programming languages such as Python, SQL, R, SAS, Java, Unix Shell scripting. Working knowledge of Hadoop framework desired.
• Advanced knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3).
• 
  What we can offer you: A competitive salary and extensive social benefits Diverse and dynamic work environment Work-life balance and support for career development An amazing life inside the element! Want to know more about how you can make your mark with us? Then let\xe2\x80\x99s stay connected! https://www.facebook.com/HPECareers https://www.instagram.com/HPECareers/ https://twitter.com/HPE_Careers #India #operations HPE is an Equal Employment Opportunity/Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Job: Engineering Job Level: Specialist
Hewlett Packard Enterprise is EEO F/M/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.