Familiarity with identity, fraud, security, or credit bureau data and solutions.
Experience and demonstrated success in applying predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications over a period of at least one (1) year; experience building analytical solutions that deliver value and create competitive advantage.
The desire to work on full-stack data science solutions and engage in continuous learning.
Experience processing large amounts of semi-structured (esp. JSON) and unstructured data.
Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment.
Familiarity with graph databases, stream computing, or probabilistic data structures.
Experience with containerization and container-orchestration (esp. Docker and Kubernetes).
Experience with NoSQL databases, such as Cassandra or Elasticsearch.
Knowledge of various ETL techniques and frameworks.
Familiarity with data visualization methods and tools (D3.js, Graphite, etc.).
Understanding of massively parallel processing (MPP) and distributed computing principles.
Work experience in industries served by TransUnion, such as financial services, insurance, and digital marketing.
Work experience in SaaS or real-time solutions.
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, new business rules, and device and other identity solutions of broad scope and complexity for customers within the various industries served by TransUnion.
You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis for a variety of business use cases leveraging multiple analytic techniques. As a project leader, you will take ownership of all aspects of the project from design to development, to peer review, to client presentation, to implementation and audit.
You will identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services and develop project proposals, sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion, applying your practical analytic experience to find areas of new value of TransUnion customers. 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 and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements.
You will deliver analytic insights and recommendations in succinct and compelling presentations for 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.
