Analytics Developer, Data Science and Analytics at TransUnion
“TransUnion is committed to finding innovative ways information can be used to help businesses and consumers make smarter decisions.” – Chris Cartwright, President US Info Services, CEO Administration
What we’ll bring:
A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.
Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.
Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius.
The Data Science & Analytics team is an industry recognized, client-facing department that rewards an entrepreneurial spirit. We have deep technical expertise and an established reputation as an analytic solutions provider in Financial Services and related industries. We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists.
Modern computing environment based on best-in-class “big data” technologies and the freedom to explore new data sources and statistical and machine learning methodologies. All of these resources will enable you to help us deliver next-generation analytic solutions for our customers.
What you’ll bring:
Master’s or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, computer science or another highly quantitative field. A track record of academic excellence.
At least two (2) years of professional experience performing analytic/scientific software development work in Financial Services or related industries or research institution.
Deep understanding of analytic/scientific software development and advanced knowledge of statistical and machine learning models and frameworks.
Advanced programming skills; proficiency with R; experience using other programming and data manipulation languages (SQL, Python, C/C++, Java, Scala, etc.).
Proficiency with Unix/Linux.
We’d love to see:
Experience with modern “big data” frameworks (Hadoop, Spark).
Familiarity with reproducible research and reporting tools (LaTeX, Markdown, etc.).
Experience with scientific visualization (Shiny).
Ability to travel 5-10%.
Strong analytical, critical thinking, and creative problem solving skills.
Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment.
Strong project management skills with the ability to manage multiple assignments effectively.
Impact you’ll make:
You will be responsible for developing and maintaining analytical applications and frameworks used by the TransUnion analysts and data scientists both in the US and internationally.
Design and write programs and packages for data extraction, segmentation, and statistical analysis on large population datasets.
Research and evaluate advanced statistical and machine learning models, emerging tools and technologies in analytics and data science.
Assist Global Technology with maintenance of the tools and frameworks used by analysts on the high-performance computing (HPC) cluster.
Participate in projects led by Global Technology as a subject matter expert on machine learning and scientific computing.
Provide support and training to the users on the tools you develop.
Identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services.
Foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.
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.