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Job Field: Accounting / Finance Jobs
Location: SEATTLE, WA
Salary: $-
Job Type: Part Time

JOB SUMMARY:

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               <td align="left"><font style="font-size: 100%;">Software Engineer, Data Science<BR><BR>Seattle&#44; Washington&#44; United States&#8226;REF23S<BR><BR>Company Description<BR>WhitePages is the leading provider of contact information for people and businesses in the U.S. We are a top 40 website with over 40 million unique monthly users, and we power over 2 billion searches on over 1,500 sites including MSN and the United States Postal Service. Already the largest and most trusted online directory, we are developing new location based mobile and Internet services that make it easier than ever to find and connect with the people and businesses you are looking for. Additionally we are building an impressive B2B offering that utilizes our core data sets and allows businesses to better serve their own customers.<BR><BR>Joining WhitePages offers you the opportunity to work in small, nimble, empowered teams and the assurance of joining a company that has been profitable every year since our incorporation in 2000. We think big, yet act small, and innovation and entrepreneurial spirit run deep. We?re headquartered in the heart of Downtown Seattle, have strong company values, an exciting culture, and respect and appreciate diversity as an equal opportunity employer.<BR><BR>Job Description<BR><BR>Data is at the core of everything we do, and as a member of the Data Team, you will be instrumental in defining, driving and extending the vision for WhitePages data. You will be identifying new ways to improve and enhance the value of our data by improving its freshness, accuracy, breadth, and depth. You will be looking for new data sources, and exploring new ways to develop and deliver new insights for our users.<BR><BR><BR>As a data scientist and engineer you appreciate that the value of data is realized through effective modeling, analysis, and engineering, and you have strong skills and passion for all three. You enjoy doing analytic work, prototyping new features, and collaborating closely with engineering teams to bring new ideas, technology, and features to our users. You are interested in all phases of the data lifecycle: understanding and onboarding data from multiple providers in an automated and rigorous way, building and maintaining data models that support analysis and feature development, and developing systems that meet high standards of data integrity and availability.<BR><BR>If you are passionate about data and big data processes and analysis and enjoy working with others who feel the same way, then this is a truly unique and exciting opportunity.  Send us your resume today so we can start a conversation!<BR><BR><BR>Qualifications<BR>You must have?<BR>* An undergraduate degree in computer science or related field (e.g. mathematics, statistics, physics, engineering)<BR>* A passion for big data and big data manipulation<BR>* A philosophy of iteration and continuous improvement<BR>* Strong demonstrated software engineering skills, preferably in an agile/incremental environment<BR>* Experience in database design, implementation and maintenance<BR>* Significant experience applyi                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              </font></td>
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