What We'll BringAt TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we’re – consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.
Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.
What You'll Bring8+ years of work experience as a Machine Learning Scientist or Machine Learning Engineer and a Bachelors Degree; or a combination of experience and education within Machine Learning, Data Science or Statistics.
Solid theoretical knowledge of Machine Learning and Statistical concepts, including Deep Learning, common Neural Network architectures as well as performance tradeoffs.
Experience building scalable models with very large real-world data sets.
Strong written and verbal communication skills: ability to clearly articulate ideas to both technical and non-technical audiences.
Strong analytical, critical thinking and creative problem solving skills
Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously.
Impact You'll MakeAs a Machine Learning Data Scientist on our team, you will join a world class group of statisticians, data scientists, mathematicians and modelers on a mission to extract insights from information and put them to good use. You will have an opportunity to develop and shape the financial offerings we recommend to consumers and be recognized for the work you deliver. In the immediate term, this role requires (a) developing offer marketplace odds models, (b) developing efficient display algorithms for multi-objective optimization, and (c) AI control methods to meet operating objectives for the offer marketplace. TransUnion offers a culture of lifelong learning and as a Data Scientist here, your growth potential is limitless. Below are some of the ways you'll be making an impact:
Design, develop, and productionize machine learning systems and infrastructure.
Establish scalable, efficient, automated processes for large-scale data analysis.
Collaborate with internal and external partners to ensure data systems are built to enable near term objectives and long term vision.
Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management.
Drive ad-hoc analysis and deep dives on opportunities and issues by extracting data, performing segmentation, and statistical analyses on large population datasets.
Determine and produce reporting and insights for internal and external customers.
Help to cultivate an environment that promotes excellence, innovation and a collegial spirit.