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 data science, statistics, mathematics, economics, computer science or aligned discipline

• 2-4 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, KNN, Gradient Boosting, etc.

• Experience with common tools in the data science toolkit, such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, Keras

• Proficiency in using query languages such as SQL

• Proficiency with applied statistical concepts, 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

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

• Research and develop new approaches, keeping up to date

• Test new statistical analysis methods, software and data sources for continual improvement of quantitative solutions, implementing as needed

• Process, clean, and verify the integrity of data used for analysis

• Perform ad-hoc analysis and present results clearly

• Communicate results and ideas to key decision makers

• Create clear and easy to understand documents for models.

• Present analysis of 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.

• Collaborate with colleagues for process implementation.

• Complete all responsibilities as outlined on annual Performance Plan.

• Complete all special projects and other duties as assigned.

#LI-SG1

Benefits:

 TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, tuition reimbursement, primary parental leave of at least 16 weeks, secondary parental leave of 4 weeks, adoption assistance, fertility planning coverage, spousal and domestic partner benefits, bonus incentives, 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.

 

TransUnion's Internal Job Title:

Consultant, Data Science and Analytics