Sobre esta vaga de Sr Data Science and Analytics na TransUnion
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Team Overview
At TransUnion, we help people and organizations make better, smarter decisions by turning multidimensional information into meaningful insights. You will join a collaborative group of statisticians, data scientists, mathematicians, and modelers that develops analytical solutions for clients and supports informed risk-based decision-making. The team values high-quality delivery, innovation, knowledge sharing, and continuous learning. 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.Role Overview And Core Responsibilities
At TransUnion, we help people and organizations make better, smarter decisions by turning multidimensional information into meaningful insights. You will join a collaborative group of statisticians, data scientists, mathematicians, and modelers that develops analytical solutions for clients and supports informed risk-based decision-making. The team values high-quality delivery, innovation, knowledge sharing, and continuous learning.
Role Overview and Core Responsibilities
- Develop credit risk management and business intelligence analytical solutions through consulting engagements and research for TransUnion clients.
- Collaborate with internal and external partners to create predictive modeling and business intelligence solutions for credit lenders, insurance carriers, and other financial services organizations.
- Design and lead descriptive, predictive, and prescriptive analyses using techniques such as segmentation, logistic regression, survival analysis, principal component analysis, scenario and sensitivity analysis, and machine learning.
- Translate analytical findings into clear business insights and recommendations, and deliver compelling presentations to technical, non-technical, and executive audiences.
- Plan analytical work, delegate tasks, manage project teams, and align stakeholders to achieve project deliverables on time.
- Serve as a subject matter expert and mentor junior analytical professionals in consumer lending, credit risk, and systematic problem solving.
- Partner with senior management to identify opportunities for innovation and present new analytical ideas and solutions on behalf of the team.
- Help foster an environment of excellence, innovation, customer service, and collegial collaboration.
Required Knowledge And Experiences
- Graduate degree in a hard-science discipline with advanced coursework in statistics or a closely related field.
- At least three years of professional analytical modeling experience solving business-relevant problems.
- Strong analytical, critical-thinking, and creative problem-solving skills, with the ability to overcome obstacles and develop effective approaches.
- Demonstrated ability to manage complex projects and coordinate contributors with minimal supervision.
- Strong written and verbal communication skills, including experience presenting technical information to both technical and nontechnical audiences.
Required Technical Skills
- Expert proficiency in at least one statistical programming language, such as Python, R or SAS (Statistical Analysis System).
- Intermediate SQL (Structured Query Language) skills for data extraction.
- Experience manipulating large datasets using SAS, R, or another analytical software platform.
- Proficiency with Microsoft Word, Microsoft Excel, and Microsoft PowerPoint.
- Ability to evaluate data and summary statistics and independently perform analysis when needed.
- English Advance.
Desired Skills
- Experience managing or providing day-to-day direction to junior analytical professionals.
- Familiarity with the consumer lending business and the analytical methods used to address complex lending questions.
- Ability to tailor communication to different organizational levels, from entry-level analysts to senior leaders.
- Strong presentation skills and confidence addressing audiences of approximately 4 to 400 people.
- Strong internal customer-service orientation and an understanding of the importance of meeting internal customer needs.
#LI-Hybrid #LI-GL1
TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
TransUnion Job Title
Sr Consultant, Data Science and Analytics
