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TR
TransUnion

Managers

LocationRemote - US
Work moderemote · United States
SenioritySenior
Experience2+ yrs
Company size10,000+ people
PostedJun 23, 2025 · 1y ago
Verified live14h ago
At a glanceSummarised by Seekless from the posting.
Must have22
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
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
SQL
R
SAS
Python (Scipy, pandas, numpy, Ipython)
Microsoft SQL Server
Microsoft Access
Tableau
Spotfire
Knime
Alteryx
Regression Analysis
Classification
Decision Trees
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
Eligibility2
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation
Skills
SQL
R
SAS
Python
Scipy
pandas
numpy
Ipython
Microsoft SQL Server
Microsoft Access
Tableau
Spotfire
Knime
Alteryx
Regression Analysis
Classification
Decision Trees
Legal
TransUnion’s Job Applicant Privacy Notice
Personal Information We Collect
Your Privacy Choices
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Responsibilities
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
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).
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.
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