Wednesday, January 12, 2011

Intuit's Business Intelligence & Optimization (BIO) *new group, growing like wildfire*

One of Intuit’s greatest assets is the data flowing through our products, which span: small business, tax, personal finance, online, banking, healthcare, and a lot more. Our goal is to transform our data assets into innovative services to better serve our customers. In the course of the next two years, we will be building a linked collection of data assets to provide near real-time market intelligence to our internal and external customers on a scale currently unheard of. To get this done, Intuit has recently formed a new group focused on this enterprise-wide priority: Business Intelligence Optimization (BIO). The BIO group will be leveraging state of the art development languages & frameworks, NoSQL/Big Data solutions, etc. to solve the biggest data challenges that exist on the web and in the cloud.


CONNECT:


LinkedIn Analytics & Data Group: http://www.linkedin.com/groups?mostPopular=&gid=3342292


twitter: @intuitcareers


Email: resume or referrals to Chris Cox chris_cox at intuit dot com


Chris’s twitter: @crizzcoxxINTUIT



CURRENT OPENINGS:

(2) Senior Software Engineers—Mountain View, CA (RELO CONSIDERED)

Req (71490)

The Data-driven Offering Innovation team is a central group that accelerates Intuit’s strategic use of data in customer-facing products, through innovation and partnership with product teams across the company. If you are passionate about designing and building world-class web products that leverage data and analytics to delight customers, this is a fantastic opportunity to apply your server-side development and analytics skills.

· 5 yrs professional Java / J2EE experience on Unix/Linux platforms (design, implementation and deployment)

· Fluent in SQL and relational database design (Oracle, MySQL, Netezza)

· Exposure to analytics, modeling, statistics, machine learning, or data mining

· Deep interest and/or exp. With NoSQL/Distributed computing and databases

· Large-scale, consumer facing application experience

Apply online at http://ow.ly/40LVm


Req (70676)

  • Backend J2EE expertise
  • Big data, Distributed DB & Computing exp preferred
  • Reusable data services exp preferred—(recommendation engines, ad servers, personalization, NLP/Machine Learning, etc)
  • Knowledge of JavaScript preferred.

Apply Online at http://ow.ly/3CIso

Staff Data Warehouse Engineer—Mountain View, CA (RELO CONSIDERED) Req 71115—Staff)

Design the overall data warehouse architecture for a portfolio of very different businesses across our entire company.

· Well-rounded data warehousing experience (modeling/design, reporting, and ETL)

· Experience w/ 5+ Terabytes of data

· Strong interest in or experience w/ Big Data and NoSQL solutions

Apply online at http://ow.ly/45Zdg


(2) Senior Scientists—Mountain View, CA (RELO CONSIDERED) Req (71508--Analytics, 71059—Econometrics)

These 2 Scientists have roughly the same requirements but have slightly different focuses: 1) Analytics—cookie & visitor level data 2) Econometrics—product usage, customer info

· PhD degree in an appropriate technology field (marketing Science, statistics, econometrics, operations research, computer science).

· Candidates with M.S. degrees in related quantitative fields will be considered.

· Deep mastery of analytics (A/B, segmentation, statistics, etc), OR applied econometrics experience using multiple models, OR data mining techniques (vector machines, genetic algorithms, etc.)

· He or she will apply advanced analytics techniques to create actionable insights from a broad range of structured and unstructured data.

Apply online at (71058/Analytics http://ow.ly/3CLLF, 71059/Econometrics http://ow.ly/3CLSN)


Data Architect—Mountain View, CA (RELO CONSIDERED) Req 71012

Design the overall data warehouse architecture for a portfolio of very different businesses across our entire company.

· Experience w/ 5+ Terabytes of data

· Strong physical and logical data architecture design/architecture experience (some hands-on work)

· Strong interest in or experience w/ Big Data and NoSQL solutions

· Experience in product or data driven companies

Apply online at http://ow.ly/3CM7e