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Data Scientist / Machine Learning- Engineer (Finance)

Hewlett Packard Enterprise

This is a Full-time position in Houston, TX posted April 16, 2021.

Data Scientist / Machine Learning
– Engineer (Finance) n nHewlett Packard Enterprise (HPE) advances the way people live and work.

We bring together curious minds to create breakthrough technology solutions, helping our customers make their mark on the world.

n nAt HPE Global IT we provide consulting, financial, educational, and operational services to support our customers’ digital transformation.

Create history in an ever-evolving industry and help our customers create their future too.

Join us, and make your mark.n nAre you looking for a unique, truly innovative role?

What if it could be with one of the most impactful IT companies in the world?

Then we have the right opportunity-we are looking for a Data Scientist with a passion for Machine learning join us!

In this amazing role, you will be a key member of a growing and passionate team focused on collaborating across business and technology resources to drive forward key programs and projects leading key transformations across Hewlett Packard Enterprise.

If you have a track record and a passion for machine learning, want to be part of a business that is growing-with great opportunities, and are ready for your next role, then please apply today.n n Responsibilities n Lead development of ML business use cases that identify target actionable insights and inferences, manage risks and impacts on stakeholders Employ statistical knowledge in selecting the appropriate model(s) for the business use case and data Build, train, tune, and select models in accordance with MLOps and statistical best practices that deliver actionable, business use case-appropriate insights Lead cross-functional, cross-organizational teams in the end-to-end MLOps process from data acquisition, through data exploration, model development and testing, production model deployment, model updating and replacement n Required Education and Experience nCandidates must have a degree in computer science, statistics, mathematics, physics, or related quantitative field; Master’s degree or higher preferred.

5
– 7 years of experience developing and deploying machine learning / statistical models.n n Knowledge and Skills n Critical thinking and curiosity Data exploration, visualization, and transformation skills Statistical training / testing / evaluation of machine learning models Hypothesis and inference testing Ability to research and creatively apply new machine learning / AI methods that fulfill business use case objectives Strong relationship management skills including partnering, interacting with team members who have diverse skillsets and backgrounds, collaborating with stakeholders Proven leadership skills including team building, collaborative problem solving, business
– and data-driven decision making Excellent verbal and written communication skills Coding experience in Python, R, Java or similar functional programming language, applied to data exploration, transformation, and modeling nHPE 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.n n1081525n nHewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to the use of arrest and conviction records, including the San Francisco Fair Chance Ordinance and similar laws and will consider for employment qualified applicants with criminal histories.

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