Data Scientist

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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
• 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
• Good applied statistics skills, such as distributions, statistical testing, regression, regulation
• Logical, evidence-based problem solving and critical thinking skills
• Team focused and evidence of supporting project team members

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
• Exposure to credit or financial modeling
• Working familiarity with cloud computing environments.
• Exposure to NLP algorithms
   

Impact You'll Make:

• Utilizes 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. Implements as needed.
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results clearly
• Communicate results and ideas to key decision makers
• Creates clear and easy to understand documents for models.
• Presents analysis ideas, progress reports and results to internal and external customers
• Collaborates with Lead Data Scientist to develop technical/business approaches and new or enhanced technical tools. Participates in collaborations for implementation.
• Completes all responsibilities as outlined on annual Performance Plan.
• Completes all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation

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 $69,690.00 - $114,400