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:
Requirements:
• Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline
• 2-5 years practical experience working as a data scientist applying machine learning to real-world problems
• 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, KNN, Gradient Boosting, etc.
• Experience with common data science toolkits such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, etc.
• Proficiency in using query languages such as SQL
• Familiarity with applied statistical concepts such as distributions, statistical testing, regression, regulation
• Logical, evidence-based problem solving and critical thinking skills
• Team focused attitude and evidence of supporting project team members
Preferred:
• Working familiarity with cloud computing environments
Impact You'll Make:
The Data Scientist will help us improve our modeling processes and develop highly accurate, explainable and replicable modeling solutions for our clients. The primary focus will be in applying machine learning, predictive analysis, data mining techniques, and in building and training high quality models. Specific tasks may include mining transaction descriptions, optimizing/automating our modeling pipeline using AWS based infrastructure from data gathering/manipulation, leveraging existing/new machine learning techniques and creating model documentation.
The position will entail:
• 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 ones skills up to date
• Testing new methods of statistical analysis, software, and data sources for continual improvement of quantitative solutions, implementing as needed
• Processing, cleansing, and verifying the integrity of data used for analysis
• Performing 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 analysis, 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
Must be able to perform duties with or without reasonable accommodation
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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.TransUnion Job Title
Sr Analyst, Data Science and Analytics