Managers
hackajob · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Manage data science teams and operations.
- Develop predictive models and software solutions.
- Utilize SQL and Tableau for insights.
- Recommend strategic policy changes.
- Provide training and mentorship to direct reports.
About the role
Data Science Manager at TransUnion
hackajob is collaborating with TransUnion to connect them with exceptional professionals for this role.
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Job Description
We'd Love to See:
- Managers for various and unanticipated worksites throughout the US (HQ: Chicago, IL).
- Oversee a team of data scientist consultants, managing analytical service operations for mortgage and tenant screening businesses.
- Design and develop software to mine large datasets and create 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).
Additional Information:
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.
Key skills/competency
- Data Science Management
- Statistical Modeling
- Predictive Analytics
- Machine Learning
- Data Mining
- SQL
- Python
- R
- Tableau
- Leadership
Skills & topics
- Data Science Manager
- Statistical Modeling
- Predictive Analytics
- Machine Learning
- Data Mining
- SQL
- R
- Python
- Tableau
- Management
- Consulting
- Data Analysis
- SAS
- Regression Analysis
- Classification
- Decision Trees
- Software Development
- Team Leadership
- Mentorship
- US
How to get hired
- Tailor your resume: Highlight your Master's degree, 2+ years in statistical data modeling, and proficiency in SQL, R, Python, and Tableau to match job requirements.
- Showcase leadership: Emphasize any experience managing teams, providing training, or mentoring direct reports in your application.
- Prepare for technical questions: Be ready to discuss your experience with regression analysis, classification, decision trees, and data mining techniques.
- Demonstrate business acumen: Prepare examples of how you've used data to drive policy recommendations and business outcomes.
- Understand TransUnion: Research TransUnion's business in mortgage and tenant screening to align your answers with their needs.
Technical preparation
Master statistical modeling techniques (regression, classification).,Practice coding in SQL, R, and Python.,Build predictive models from large datasets.,Create data visualizations with Tableau.
Behavioral questions
Describe leading a data science team.,How do you mentor junior data scientists?,Share an example of a predictive model.,How do you recommend policy changes?
Frequently asked questions
- What are the minimum educational requirements for the Data Science Manager role at TransUnion?
- A Master's degree in Computer Science, Management Information Systems, Business Analytics, or a related field is required. Alternatively, a Bachelor's degree in a similar field along with 5 years of progressive experience in statistical data modeling or consulting is also acceptable for this Data Science Manager position.
- Can I work remotely for this Data Science Manager job at TransUnion?
- Yes, telecommuting is permitted for this Data Science Manager role. While the HQ is in Chicago, IL, the company is open to various and unanticipated worksites throughout the US.
- What specific programming languages and tools are essential for the Data Science Manager role?
- Proficiency in SQL, R, SAS, and Python (including libraries like Scipy, pandas, numpy, Ipython) is essential. Experience with data visualization tools like Tableau and Spotfire, as well as platforms such as Microsoft SQL Server, Microsoft Access, Knime, and Alteryx, is also required for this Data Science Manager position.
- Does TransUnion consider candidates with a criminal record for the Data Science Manager position?
- TransUnion will consider qualified applicants with arrest or conviction records in accordance with applicable laws, including fair chance ordinances in California and Los Angeles County, for this Data Science Manager role.
- What kind of statistical modeling experience is expected for the Data Science Manager position?
- You should have experience in statistical data modeling, specifically including techniques like Regression Analysis, Classification, and Decision Trees, for this Data Science Manager role at TransUnion.
- How important is experience with large datasets for this Data Science Manager job?
- Experience in designing and developing software to mine large datasets and develop predictive scoring models is a key responsibility for this Data Science Manager position at TransUnion.
- Will I be responsible for managing a team as a Data Science Manager at TransUnion?
- Yes, a core part of this Data Science Manager role involves overseeing a team of data scientist consultants, providing training and mentorship.