Data Science Engineer

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).

Education and Experience Required:

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

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.

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.

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.

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HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global 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 .

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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