Are you fascinated by machine learning and data science? Would you like to join an emerging team focused on operational analytics in a growth company with an amazing culture?
If so, we have an opportunity for you to use your analytical skills to convert data into predictive insight and meaningful information that enables business process improvement.
Come be part of a Data Enrichment team that leads the creation and implementation of new models / processes that bring measurable quality improvement to the Experian BIS Commercial Data Repository.
What you will do :
2-4 years of working experience in data model development and implementation
Ability to independently support existing products
Experience with supervised machine learning methods and concepts
Experience in implementing a ML solution into a production environment
Proven ability to work on models with large, complex datasets
Proficient in Python or R
Experience in working with Spark
Robust knowledge and experience with statistical methods
Source code management skills using tools like Git
Preferred degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math, Information Technology or other quantitative fields (Or in pursuit of the same)
Proven previous job stability, including maintaining long-term work relationships with former employers.
Knowledge of SQL
Knowledge / Experience with Shiny
Experience with Cloudera Data Science Workbench
Experience with Hadoop and NoSQL related technologies such as Map Reduce, Spark, Hive, Pig, HBase, mongoDB, Cassandra, etc.
Knowledge of NLP / Text mining techniques and related open source tools
Experian is an Equal Opportunity Employer. Anyone needing accommodation to complete the interview process should notify the talent acquisition partner.