Jobs

Hewlett-Packard is moving forward with a new enterprise data delivery solution; streamlined, innovative and of course -- Intelligent. This is a rare opportunity to drive the internal innovative force of one of the world's most recognized technology companies through a position in the data warehouse enterprise environment. Your role will be challenging, high-value and high-profile. This position will engage you with IT and Business professionals to help design and enhance an enterprise data model. The ideal candidate is self-motivated and possesses an understanding of data architecture, programming and/or design.

Job Description:
The Senior Statistical Analyst with HP will apply advanced data mining and statistical techniques on large data sets to develop descriptive models that provide insight into the behaviors and attributes of customers and predictive models that improve interactions with customers. The Sr. Statistical Analyst will contribute to the development of a scalable analytic organization by defining best practices and creating enterprise analytic solutions focused on reuse, efficiency, manageability and deployment.

Responsibilities:

• Recommend analytic strategies to meet the demands of business requirements.
• Define data requirements to accomplish data mining effort. Communicate these requirements to the Data Architect.
• Conduct sophisticated data mining analyses. Build data mining models.
• Translate data mining results into clear business focused deliverables for decision makers
• Work with Application Developers to deploy data mining models into operational systems
• Define/identify and recommend best practices for applying data mining to problem domain.
• Design and/or contribute to the development of a data mining systems that enable reuse, efficiency, manageability and deployment.

• 5 years of data mining experience in database-marketing and analytic CRM.
• 5 years use of SAS Enterprise Miner or SPSS Clementine for data mining and statistical analysis
• Expert use of data mining methodologies such as classical regression, logistic regression, CHAID, CART, neural nets, association rules, sequence analysis, cluster analysis, and text mining.
• Strong business focus. Must excel at connecting business requirements to data mining objectives and to measurable business benefit.
• Expert use of SQL and experience with relational databases
• Ability to managing multiple projects efficiently and able to meet deadlines
• Excellent communication and presentation skills
• Bachelor's degree in a relevant field (e.g., Computer Science, Mathematics, Statistics, Psychology). M.S. Preferred
• Experience in a high-tech commercial/consumer market is a plus.

Thanks for your interest in HP!