About us, but we’ll be brief
Experian is the world’s leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society. We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. In addition, for the last five years we’ve been name in the 100 “World’s Most Innovative Companies” by Forbes Magazine.
We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to Work For. In addition, for the last five years we’ve been name in the top 100 “World’s Most Innovative Companies” by Forbes Magazine.
Job Description
Experian’s commercial division of Machine Learning and Advanced Analytics team is looking for a Lead Data Scientist. The candidate must have a deep understanding of ML modeling. He/she should be willing to mentor junior analysts and lead an analytical project from inception to implementation and be able to partner with technology teams to bring models to production
Responsibilities
- Apply statistical analysis, machine learning techniques, predictive modeling, and data mining to solve business problems in credit, fraud, identity theft
- Lead and execute complex modeling/machine learning projects and new product development from concept to final delivery including writing code for model deployment
- Work cross functionally with various internal departments and external clients
- Innovate, propose, and design new revenue generating products
Required
- Masters degree in a related quantitative field (Computer Science, Math, Statistics, Engineering, Physics, Economics)
- 5+ years of relevant working experience in a similar role, preferably involving business information, fraud, or credit data
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and statistical/mathematical programming languages (e.g. Python, R, SAS).
- Experience with Machine learning methods such as Neural Networks, Clustering, SVM, Ensemble models, Random Forest, and Gradient Boosting
- Excellent written, verbal, interpersonal communication, and presentation skills
Highly Preferred
- PhD degree in a related quantitative field (Computer Science, Math, Statistics, Engineering, Physics, Economics).
- Experience with large data using Spark, Hadoop, or similar technologies
- Experience with Commercial fraud, consumer fraud, identity theft, or cyber security
- Knowledge of Time Series Econometric models
- Experience with cloud-based platforms
- Prior people mentoring or leading experience of fellow Machine Learning and Data Science Analysts
Additional Information
All your information will be kept confidential according to EEO guidelines.
