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 :
Create and implement machine learning models to improve data quality
Own and iterate on previously created models
Developing tools for data processing and information retrieval
Documentation of model performance and features
Collaborate with technology and other business teams
Continual learning of new technologies and data science
Data visualization of performance metrics
What your background looks like :
1 year of working experience in data model development and implementation
Ability to independently support existing products
Experience with supervised machine learning methods and concepts
Proven ability to work on models with large, complex datasets
Intermediate to proficient in Python and / or R is required
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
Must be able to clear the company’s pre-employment screening
Knowledge of SQL
Experience in one or more of the Cloud Environments (AWS, Google Cloud, Azure)
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
Knowledge of Bayesian statistical inference and related machine learning methods