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Managers for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Supervise and lead a team, including data scientists, to create next generation analytics products. Provide technical thought leadership, architectural guidance, and strong project management skills. Responsible for team revenue planning, budgeting, capacity planning, resource allocation, project management, work measurement, management reporting, and M&A support. Independently execute full range of personnel-related functions, including talent acquisition and pipeline management, training, development, goal setting, and performance management. Engage with stakeholders worldwide to ensure resource coverage and quality of deliverables and help achieve business unit goals. Lead analytic engagements. Develop project proposals, presentations, and promotional collateral. Technical Environment: Descriptive, predictive, and prescriptive analytics, segmentation, linear and logistic regression, Machine learning, Mathematical programming, Clustering, optimization, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis; R, Unix/Linux, machine learning (neural networks, decision trees, support vector machines, genetic algorithms, logistic regression, clustering, variable selection); Deep learning, Cloud technologies, Generative AI; C, C/C++, Python, Perl, Java, SQL, Unix shell programming.Job Requirements
PhD or ABD in Operations Research or Mathematics or Statistics or Data Science or other Quantitative field plus 4 years of experience teaching or as a Research Assistant or Data Scientist or Developer required. Required Skills: Experience mentoring & hiring junior data scientists; performing analytic work in Financial Services or related industry; delivering comprehensive models and custom product solutions from initial requirements; demonstrated success in customer-facing projects; demonstrated contributions to pre-sales efforts on the technical side; developing customized product models/prototypes based on new customers’ specifications; with machine learning (neural networks, decision trees, support vector machines, genetic algorithms, linear & logistic regression, clustering, variable selection); Mathematical programming, Clustering and optimization; conduct predictive and prescriptive modeling and descriptive analytics on large population datasets, such as: Segmentation, Survival analysis, Principal component analysis, Monte Carlo simulation, Scenario & sensitivity analysis; Deep learning, Cloud technologies, Generative AI; C/C++, Python, Perl, Java, Unix/Linux, R, SQL, Unix shell programming, large datasets & real world data, linear models, graph algorithms, pattern recognition; Hadoop; AbInitio. Telecommuting permitted.
Benefits & Pay Scale Information:
TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion’s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.
The U.S. base salary range for this position is $202,779/yr-$202,779/yr annually. Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may also be eligible for long-term incentives and other payments based on applicable company guidance and plan documents.
We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.
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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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