Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.
TransUnion's Job Applicant Privacy Notice
Personal Information We Collect
Your Privacy Choices
We'd Love to See:
Job DescriptionManagers 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).
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.
Top Skills
Alteryx
Knime
Microsoft Access
Microsoft Sql Server
Python
R
SAS
Spotfire
SQL
Tableau
Similar Jobs at TransUnion
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
This role involves managing enterprise sales in marketing solutions for media and entertainment sectors, focusing on data-driven marketing and analytics.
Top Skills:
AnalyticsAudience DataData-Driven MarketingDevice/Identity GraphsIdentity ManagementIdentity Resolution
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
