The Principal Scientist – Data Mining will be part of the Advanced Data and Analytics team in the Business Intelligence and Optimization organization. He or she will apply data mining techniques to create actionable insights from a broad range of data, some of it on a large scale: behavior (clickstream, call center), transactions (sales), perceptions (surveys, usability), market research (including industry and competitive analysis), demographic (including financial and medical), SaaS product usage, customer support interactions, etc. This role is responsible for defining the overall data mining strategy for a portfolio of very different businesses that will enable Intuit to continue to accelerate revenue growth over the next several years. This will require solving some fundamental and highly challenging issues in terms of where and how we use data mining; what tools and technologies we should deploy; and much more. The successful candidate will act as an industry thought leader to continue to build up awareness of Intuit as a front-runner web company across the broader web business community. This will involve speaking at industry events, sharing best-practices with other companies, building working relationships with key analytic experts, firms, and consultants, and more.
Full description/application at www.intuit.apply2jobs.com/index.cfm?fuseaction=mExternal.showJob&RID=66220
Staff Web Data Analytics Strategist
The Staff Web Analytics Strategist will join the Customer Experience team within the corporate Business Intelligence and Optimization group. He/she will provide thought leadership in web analytics tools and their applications to create a delightful, personalized end-to-end customer experience and improve business outcomes. The responsibility will include selection, design, development, support, and technical evangelism of our web analytics tool infrastructure and metadata. This individual will be responsible for building a world-class capability in all of these areas over a multi-year horizon. The successful candidate will have a mastery of a wide range of web analytics tools as well as experience in data warehousing for web data with proven implementation skills. This individual will be implementing a web analytics infrastructure that includes web click-stream data, web commerce data, survey data and other data related to customers. We expect the ideal candidate to have 5 years of experience in web analytics and data warehousing.
See full description/application at www.intuit.apply2jobs.com/index.cfm?fuseaction=mExternal.showJob&RID=66381
Staff Analytics Engineer, New Business Innovation
Inuit’s New Business Innovation team is seeking a Senior Analytics Engineer to drive the success of new, strategic data-driven products. This individual will create value from Intuit’s data through predictive modeling, data mining, and analytics. Intuit’s New Business Innovation team sits in the Business Intelligence and Optimization organization and seeks to drive business growth through strategic data initiatives. Some of the key experiences or qualifications that we would ideally like to see in the candidate ideal are a Ph.D. (or M.S. with equivalent experience) in Statistics, Mathematics, Data Mining, Operations Research, Artificial Intelligence, or a related field, Demonstrated success in the design and delivery of new data-driven products and/or end-to-end development of predictive models and a strong background (including 5+ years of experience) in analytics, modeling, machine learning, or data mining.
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Staff Web Data Warehouse Analyst
The Staff Web Data Warehouse Business Analyst will be part of the Customer Experience team focused on the web and work with the various business units to elicit the business requirements for a web data warehouse for the company. The goal is to use web data as a strategic advantage to optimize our web businesses in terms of delighting our customers in their shop, buy, and use experiences and achieving financial goals. Major focus areas for web research and analytics include personalization and experimentation. The data includes quantitative data (clickstream, transactions, demographic, product usage), qualitative data (surveys and usability study results), and unstructured data (problem description in English for customer support). The responsibility will include guiding business leaders to realize the maximum value out of their clickstream, search, and survey data; create business metadata; capture business processes, business rules; and define the conceptual/logical data model.
See full description/application at www.intuit.apply2jobs.com/index.cfm?fuseaction=mExternal.showJob&RID=66219