TransUnion's Job Applicant Privacy Notice

What We'll Bring:

At TransUnion, 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 encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.

Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.

What You'll Bring:

• Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline
• 3-6 years practical experience working as a data scientist applying machine learning to real-world problems
• Great communication skills to articulate technical aspect of model development to internal and external customers
• Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting etc.
• Experience with common data science toolkits, such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, Keras
• Proficiency in using query languages such as SQL and/or RedShift
• Skill in applied statistics (distributions, statistical testing, regression, regulation, etc.)
• Logical, evidence-based problem solving and critical thinking skills
• Team focused attitude with evidence of supporting project team members

Preferred:
• Exposure to credit or financial modeling
• Working familiarity with cloud computing environments

Impact You'll Make:

• Utilizing statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs
• Researching and developing new approaches, keeping one's skills up to date

• Testing new statistical analysis methods, software and data sources for continual improvement of quantitative solutions, implementing as needed
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results clearly
• Communicating results and ideas to key decision makers
• Creating clear and easy to understand documentation for models
• Presenting ideas, progress reports and results to internal and external customers
• Collaborating with a team lead to develop technical/business approaches and new or enhanced technical tools

• Participating in collaboration for implementation
• Completing all responsibilities as outlined on annual Performance Plan
• Completing all special projects and other duties as assigned

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We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

 

TransUnion's Internal Job Title:

Acquisition Exempt, Acquired Associate