1+ months

Research Engineer - Data Scientist - Statistics - Hewlett Packard Enterprise

San Jose, California

The Marketing Data Sciences team in Hewlett Packard Enterprise’s Global Marketing organization is charted to provide deep insights about customers and channel partners through advanced analytics to accelerate the demand generation and enhance customer experience. We have established a solid track record of high impact on HPE strategy and business results.

Candidates for this position are expected to have a Ph.D. degree. The person will be responsible for building state-of-the-art advanced analytics models while utilizing massive structured and unstructured information, both digital and non-digital, for several applied areas, including customer segmentation, precision targeting, attribution modeling, marketing campaign design, pricing optimization, product recommendations, personalization, predictive analytics modeling to capture customer requirements. The person should be able to analyze vast amounts digital and non-digital data to draw business conclusions and produce recommendations.

This position offers a unique opportunity to make strong impact in demand generation of HPE’s products/services by mining customer information while optimizing the costs. This is an opportunity for the right candidate to be part of a strong interdisciplinary analytics core team with strong skills in large scale optimization, statistics, computer science, and marketing science. This team maintains strong development partnership in select areas with leading researchers in academia. In 2009, this team was responsible for product portfolio management technology development and deployment, which resulted in HP winning the INFORMS Edelman Award. In 2012, this team won the INFORMS Revenue Management and Pricing Section Practice Award for outstanding applications of revenue management and pricing methodologies.

Applicant should be interested in and committed to solving real business problems and should have demonstrated ability to work collaboratively with team members across geographical boundaries, with partners in various business units, with customers and academic partners. He/she should possess strong algorithmic software development skills. We’re looking for people with razor-sharp analytical skills and with the ability to lead projects independently from start to finish.


Required Qualifications


  • PhD in Statistics, Marketing Science, Operations Research required
  • 0 to 3 years of relevant experience.

Required Knowledge And Skills

  • The candidate should have strong background and experience in advanced statistical methods, including but not limited to: Bayesian statistical methods, time series analysis, high-dimensional inference, statistical learning, and semiparametric regression. Strong background and skills in empirical work.
  • Deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. Analytical engagements outside class work while at school can be included.
  • Graduate level course work in data mining and machine learning. Strong skills in handling and preparing large real-world datasets is a plus.
  • Experience with statistical software/language (R, Python,SAS, or similar).
  • Excellent background in design and development of complex algorithmic software prototypes.
  • Work effectively in a cross-disciplinary research team with a focus on developing novel statistical methods motivated by large-scale real world business problems.
  • Communicate effectively with statisticians & non-statisticians.


HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status


Posted: 2019-05-09 Expires: 2019-07-08

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Research Engineer - Data Scientist - Statistics - Hewlett Packard Enterprise

Hewlett Packard Enterprise
San Jose, California

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