Senior Data Scientist

TransUnion • Chicago, IL

8d • Hybrid

About The Position

This position is responsible for supporting the development of analytic solutions through consulting engagements for TransUnion’s clients primarily for fraud prevention but potentially across a broader array of applications including credit, insurance and marketing business applications. This position requires a general understanding of US financial services risk management practices and credit bureau data and solutions. Relevant aspects include how credit data are reported to credit bureaus, how credit data are leveraged for risk solutions, and some understanding of the relevancy of that data to fraud prevention within financial services. Additionally, a successful candidate will bring a perspective into how addressing fraud within the financial services industry might be broadened into other industries such as telecommunications. You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added solutions to various TransUnion customers. These tasks will include –among others- the development of predictive models and business intelligence solutions of moderate scope and complexity for individual customers within the various industries served by TransUnion. You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis, primarily for fraud business cases leveraging multiple analytic techniques with an emphasis on, but not limited to, predictive modeling and strategies for the concurrent use of multiple solutions. As a project leader, you will take ownership of analytic aspects of the project from design, to development, to customer presentation, review, and solution refinement. You will identify strategies and opportunities for customers and develop subject matter expertise to test and adopt custom analytic products to optimally provide anti-fraud strategies and the ability to identify new fraud threats. In the context of these opportunities, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed. You will design, write, and test programs for data extraction, segmentation, statistical analysis and other functionalities in the domain of data science on large population datasets using a modern technological stack. You will use opportunities to deliver analytic insights and recommendations as part of a broader mission to establish a reputation of TransUnion for excellence in technological capabilities and domain knowledge, highlighted by delivery of succinct and compelling presentations to internal and external customers representing a wide range of backgrounds and levels. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. 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. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Requirements

• Graduate degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a bachelor’s degree in a quantitative field with at least three (3) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.
• Experience and demonstrated success in client-facing roles over a period of at least one (1) year as well as at least one (1) year of professional experience performing analytic work, preferably in the Financial Services industry.
• Demonstrated interest in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing (e.g., through relevant internships).
• Strong analytical, critical thinking, and creative problem solving skills.
• Familiarity with and ability to program within and use Spark within an advanced technological framework such as GCP, Databricks or other similar systems; high level of familiarity with Microsoft Office tools.
• Expertise in all areas of Data Science and Predictive modeling with large datasets, ideally including familiarity with some flavors of AI or Deep Learning techniques.
• Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment; evidence of initiative-taking.
• Strong project and time management skills with the ability to manage multiple assignments effectively.
• Interest in connecting Data Science to solving business problems around fraud in client-facing consulting roles.
• Ability to travel up to 20%.

Nice To Haves

• Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment.
• Familiarity with credit bureau data and solutions.
• Familiarity with fraud particularly as it pertains to financial services or telecommunications industries.

Responsibilities

• development of predictive models and business intelligence solutions of moderate scope and complexity for individual customers within the various industries served by TransUnion
• lead analytic client engagements involving descriptive, predictive, and prescriptive analysis, primarily for fraud business cases leveraging multiple analytic techniques with an emphasis on, but not limited to, predictive modeling and strategies for the concurrent use of multiple solutions
• take ownership of analytic aspects of the project from design, to development, to customer presentation, review, and solution refinement
• identify strategies and opportunities for customers and develop subject matter expertise to test and adopt custom analytic products to optimally provide anti-fraud strategies and the ability to identify new fraud threats
• interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed
• design, write, and test programs for data extraction, segmentation, statistical analysis and other functionalities in the domain of data science on large population datasets using a modern technological stack
• deliver analytic insights and recommendations as part of a broader mission to establish a reputation of TransUnion for excellence in technological capabilities and domain knowledge, highlighted by delivery of succinct and compelling presentations to internal and external customers representing a wide range of backgrounds and levels
• foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees