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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:

• 2+ years of 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
• Exposure to credit portfolio management, loss forecasting and risk management
• Excellent understanding of machine learning techniques and algorithms, i.e., 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
• Proven applied statistics skills, such as distributions, statistical testing, regression, regulation
• Logical, evidence-based problem solving and critical thinking skills

We'd Love to See:

• Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline
• Working familiarity with cloud computing environments
• Exposure to NLP algorithms

Impact You'll Make:

• Utilize statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs.
• Ability to research and develop new approaches, keeping up to date. Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions.
• Process, cleanse, and verify the integrity of data used for analysis.
• Do ad-hoc analysis and presenting results clearly.
• Communicate results and ideas to key decision makers.
• Create clear and easy to understand documents for models.
• Present analysis ideas, progress reports and results to internal and external customers.
• Collaborate with Lead Data Scientist to develop technical/business approaches and new or enhanced technical tools. Participates in collaborations for implementation.

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.

Benefits:

TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, additional (following any short-term disability) 10 weeks of parental leave with gradual return, adoption assistance, fertility coverage, spousal and domestic partner benefits, charity gift matching, employee stock purchase plan, retirement contributions with employer match, organizational growth potential through our online learning platform with guided career tracks, and access to TransUnion’s Employee Resource Groups. 

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

Pay Scale Information :

The salary range for this position is $80,845.00 - $132,600.00. *The salary range for this position reflects the general range of compensation for this job and does not include our bonus incentive(s). This position is eligible for bonus incentive(s). At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual’s education, training, work experience, job-related skill set, industry knowledge, as well as the scope and responsibilities of the position, and market considerations.

TransUnion's Internal Job Title:

Consultant, Data Science and Analytics