HP Data Scientist in Palo Alto, California
Data Scientist, HP Inc, Palo Alto, California
HP Inc. has sets its vision on creating technology that makes life better for everyone everywhere. This vision guides everything we do, how we do it, and why we do it. HP Inc has started on this new journey to reinvent itself into company with the heart of a start up and the strength of a Fortune 100 company.
The Customer and Marketing Analytics group in HP Inc’s Global Marketing organization has been charted to provide deep insights, predictions and optimization about HP’s customers, channel partners and marketing investments through advanced data analytics for accelerated business impact. We have established a solid track record of high impact on HP strategy and business results.
We are seeking to fill an applied data sciences position. The selected candidate is expected to join a talented team of diverse backgrounds. This team’s main charter is to build business solutions end to end or through collaboration with vendors and partners to provide best in class solutions driven by deep analytics technologies. Essential Responsibilities Candidates for this position are expected to have a Ph.D. or Master level degree. The person will be responsible for building state-of-the-art advanced analytics models while utilizing massive structured and unstructured information for several applied areas, including customer segmentation, attribution modeling, marketing campaign design, product recommendations, personalization, demand forecasting, predictive analytics modeling to capture customer requirements. This position offers a unique opportunity to make strong impact 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.
Candidate should have keen interest in innovative methodological research with applications to high impact business areas. 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 academic partners and customers, and should possess strong algorithmic software development skills.
A Master or PhD in Computer Science, Statistics, Marketing Science or Econometrics or related disciplines.
The candidate should be familiar and experienced with 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
Graduate level course work in data mining and machine learning.
Experiences with commercial and open source statistics packages (like R/S/Splus, SAS etc) and data mining softwares.
Excellent background in design and development of complex algorithmic software prototypes.
No shift premium (United States of America)
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