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’s complex world. Our culture thrives on finding new and better ways to accelerate what’s 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.

Job Description:

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 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.

The HPC & AI Cloud Services Platform Engineering Team is looking for a AI Data Scientist to help us develop data rich capabilities for our training and inference offerings. The successful candidate will join our stellar team to help engineer a highly forward-looking cloud computing platform optimizing data and compute performance, gravity, and liquidity across a complex ecosystem.

Responsibilities:

• Analyze, design, program, debug, and modify from the ground up to meet the needs of mission-critical applications, always looking for innovative approaches to deliver end-to end technical solutions to solve customer problems.
• Formulates and defines analytics solution objectives and technical requirements based on user needs, an understanding of 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.
• Analyze, plan, debug, and integrate existing data preparation, transformation and analytic frameworks to produce robust AI applications.
• Bring technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.
• Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of customer engagements.
   

Education and Experience Required:

Advanced degree in Statistics, Operations Research, Computer Science or equivalent preferred and at least 2-3 years of relevant experience.

Knowledge and Skills:

• 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.

Join us and make your mark!

We offer:

• 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 it?
Then let’s stay connected!
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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. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. 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.

Accommodation of special needs for qualified candidates may be considered within the framework of the HPE Accommodation Policy.

Additional Skills:

What We Can Offer You:

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.

Diversity, Inclusion & Belonging

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

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Job Level:

Canada Pay Range Requirement

The expected salary/wage range for a Canada-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://hpe-benefits.seb-admin.com/new-to-hpe/.

L’échelle salariale prévue pour un nouvel embauché basé au Canada occupant ce poste est indiquée ci-dessous. L'offre peut varier dans cette échelle en fonction de l'emplacement géographique, de l'expérience professionnelle, de et/ou du niveau des compétences. S'il s'agit d'un rôle de vente, l'échelle salariale indiquée reflète le salaire de base combiné à la rémunération des ventes ciblées. S'il s'agit d'un rôle non commercial, l'échelle salariale indiquée reflète uniquement le salaire de base. Des incitations variables peuvent également être proposées. Des informations sur les avantages sociaux offerts sont disponibles sur https://hpe-benefits.seb-admin.com/new-to-hpe/.

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. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. 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. Please click here: Equal Employment Opportunity.

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. .