Managers

Posted 2 Days Ago
Hiring Remotely in United States
Remote
Mid level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Role
Manage analytical service operations for mortgage and tenant screening businesses by overseeing a team of data scientist consultants. Develop software to mine large datasets and develop predictive scoring models. Predict risk and marketing outcomes by developing statistical models. Generate insights using data query software. Provide training and mentorship to direct reports.
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Job Description
Managers for various and unanticipated worksites throughout the US (HQ: Chicago, IL). Manage analytical service operations for mortgage and tenant screening businesses by overseeing a team of data scientist consultants. Design and develop software to mine large datasets and develop predictive scoring models. Predict risk and marketing outcomes by developing statistical models, including decision trees and scorecards. Generate insights using data query software such as SQL and Tableau. Recommend policy and account changes to customers in response to predicted changes in market and economic environments. Develop and deploy software for compiling licensed residential housing data and use compiled data to create derivative products. Provide training and mentorship to direct reports. Technical Environment: SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access, Tableau, Spotfire, Knime, Alteryx, Regression Analysis, Classification, Decision Trees.
Job Requirements
*Master's degree in Computer Science, Management Information Systems, Business Analytics, or a related field plus 2 years of experience in the job offered, as a Consultant, or in Statistical Data Modeling required. Required skills: SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access, Tableau, Spotfire, Knime, Alteryx, Regression Analysis, Classification, Decision Trees. Telecommuting permitted. (*Bachelor's degree in Computer Science, Management Information Systems, Business Analytics, or a related field plus 5 years of progressive experience in the job offered, as a Consultant, or in Statistical Data Modeling also acceptable).

Top Skills

Python
R
SAS
SQL

What the Team is Saying

Patrick
Tiana
Jason
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The Company
HQ: Chicago, IL
13,000 Employees
Hybrid Workplace
Year Founded: 1968

What We Do

TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace.

We do this by having an accurate and comprehensive picture of each person.

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.

Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve.

We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.

Why Work With Us

Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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