TransUnion Risk and Alternative Data Solutions, Inc. seeks to improve scalability and performance of data analytics products through innovation and technical leadership
Requirements
- Python (Pandas, Scikit-Learn, Matplotlib, NLTK)
- C/C++
- R
- Java
- Machine Learning
- Deep Learning & Neural Networks
- Generative AI
- Clustering and Classification
- Causal Inference
- AWS
- Google Cloud
- SQL/NoSQL
- Microsoft Azure
- PySpark
- Hadoop
- MapReduce
- Shell
- Git
- Jupyter Notebook
- Docker
- Tableau
- Anaconda
Responsibilities
- Collaborate with Product Development Teams to groom various initiatives and lead them through design, development, testing, and release of new data science and analytics products
- Lead team members in product design and code reviews
- Resolve technical issues and bring in innovation that improves scalability and performance of data analytics products
- Apply in-depth knowledge of entity resolution and large-scale data fusion
- Design pre-sales customer data engagements
- Present plans to both internal and external customers
- Utilize domain knowledge in financial services, fraud, insurance, and other related industries
Other
- Master’s degree in Computer Science, Information Science, Computational Social Science or a related field plus 2 years of experience with Software Development required
- Bachelor’s degree in Computer Science, Information Science, Computational Social Science or a related field plus 5 years of progressive experience with Software Development also acceptable
- Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position
- Some telecommuting permitted
- Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans
