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Data Scientist


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Job Details

Location: Posted: May 21, 2019

Job Description

Whitepages Pro provides businesses with global identity verification solutions via enterprise-scale APIs and web tools to help companies identify legitimate customers, prevent fraudulent transactions, and smooth new customer creation. Our real-time data integrates into existing platforms, authentication workflows, and data models to help your business confidently assess and verify consumer identities worldwide.
Our foundation is data at massive scale. As a leader in identity data, Whitepages developed our own fully-integrated, high-availability Identity Graph database which houses more than 5 billion global identity records. These records have been curated and corroborated from hundreds of different sources to deliver unparalleled coverage, accuracy, and performance in identity verification. Businesses of all sizes including, Expedia, Microsoft, Western Union, and Under Armour use Whitepages Pro data to mitigate risk and improve the customer experience.

As a Data Scientist, you will be located in our Seattle office and will be responsible for exploratory data analysis and machine learning modeling for a number of initiatives. Your work will be high impact, strategic, and innovative. The work is inherently challenging – we are looking for an entrepreneurial person who can ask the right questions, come up with the best analytical approaches, collaborate with engineers, product managers and other teams, work fast and iterate to solve problems. This is an amazing opportunity to directly contribute to new products, innovate and solve real customer problems.

In the Data Scientist role you will:

  • Embrace all facets of working with large complex data sets
  • Strive to understand the data – what is it trying to model, and what are its strengths and weaknesses?
  • Ask good questions – how do you formulate the right hypothesis, design the right experiment, run the right test?
  • Interpret results and communicating them effectively – what did the analysis really tell you, and what should we do next?
  • Implement at scale -- assemble the data required to do analyses, and able to work with engineers to put your insights into production
  • Solve tough problems, understanding customer needs and iterating at a rapid pace

Our ideal Data Scientist will have:

  • A degree in statistics or related field: mathematics, economics, computer science, information management, etc. from a top university, or equivalent work experience
  • 1+ years of relevant industry experience developing machine learning models in a business context, or at least 3 years of relevant academic experience
  • Deep understanding of machine learning and modeling concepts
  • Programming skills with Python, R or Scala, or relevant programming language, as well as experience querying and working with large data sets
  • Proven ability to work independently and from concept to execution
  • Strong oral and written communication skills; ability to communicate technical concepts and results to a non-technical audience
  • Excellent written and speaking English skills

Extra points if you have.....

  • Experience working with Spark
  • Experience with AWS or other cloud providers
  • Experience with Kotlin
Combine all this with a dynamic, can-do culture, and Whitepages is a pretty awesome place to work for folks who want to have impact. We are a small team with a passion for what we do, and we keep our employees at the center of our mission. We host weekly events, including catered lunches and happy hours, enjoy unlimited vacation, keep a fully stocked kitchen, and work in some great cities, with headquarters in downtown Seattle and offices in Budapest, Hungary and Amsterdam, Netherlands.
If this sounds like the kind of place you want to spend your days, then visit us at: Whitepages Inc. prides itself on being an equal-opportunity employer.

About Whitepages

Whitepages is the largest and most trusted online directory with contact information and public records for over 90% of US adults.

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