Data Scientist II
Experian Information Solutions, Inc
Heredia, Heredia, Costa Rica
hace 4 días

Summary

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
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    Requirements :

  • 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
  • Proven ability to work on models with large, complex datasets
  • Intermediate to proficient experience 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
  • Pluses

  • Knowledge of SQL
  • 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
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