TransUnion is a global information and insights company that makes trust possible in the modern economy. We do this by providing an actionable picture of each person so they can be reliably represented in the marketplace. As a result, businesses and consumers can transact with confidence and achieve great things. This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world. A leading presence in more than 30 countries across five continents, TransUnion provides solutions that help create economic opportunity, great experiences and personal empowerment for hundreds of millions of people. We call this Information for Good®—it’s our purpose, and what drives us every day.

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Job Description
Sr. Advisors for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Design and develop models, optimization algorithms and highly scalable processes for marketing measurement and audience activation. Use big data analytical tools to process and extract data from data processing platforms. Perform software development. Adapt and use commercial and open-source statistics and data mining packages for R&D production environment. Investigate online identities, design clustering algorithms and perform online identity resolution. Establish deterministic and probabilistic linkages between data sources and developing ways to extract and summarize actionable information from data using statistical, data mining, and machine learning techniques. Develop machine learning algorithms for online and offline identity resolution. Technical environment: SQL, HiveSQL, Spark, Python, Scala, R, and Matlab; Java; deep learning.

Job Requirements
*Master’s degree in Analytics, Data Science, Statistics, Computer Science or any Engineering field plus two years of experience as a Data Scientist or in analytics required. Required skills: Experience designing & developing models, optimization algorithms and highly scalable processes; Investigating online identities, designing clustering algorithms & performing online identity resolution; SQL, HiveSQL, Spark, Python, Scala, R, Matlab; Java; machine learning. Telecommuting permitted. (*Bachelor’s degree in Analytics, Data Science, Statistics, Computer Science or any Engineering field plus five years of progressive experience as a Data Scientist or in analytics also acceptable).

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