Data Scientist II
Experian Information Solutions, Inc
Heredia, Heredia, Costa Rica
hace 5 días


Are you fascinated by the R language, 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 Science 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

Take ownership of previous R applications to push to the next level

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

Requirements :

  • 2-4 years of working experience in analytics,data mining or predictive modeling
  • Ability to independently support existingproducts
  • Experience with supervised machine learningmethods and concepts
  • Proven ability to work on models with large,complex datasets
  • Intermediate to proficient in R is required
  • Intermediate to proficient in SQL
  • Robust knowledge and experience with statisticalmethods
  • Sourcecode management skills using tools like Git / Bitbucket
  • Preferreddegree in Machine Learning, Computer Science, Electrical Engineering, Physics,Statistics, Applied Math, Information Technology or other quantitative fields(Or in pursuit of the same)
  • Pluses

  • Shiny, SparkR / sparklyr
  • Experience with Python
  • Experience with Hadoop and NoSQL relatedtechnologies such as Map Reduce, Spark, Hive, Pig, HBase, mongoDB, Cassandra,etc.
  • Knowledge of NLP / Text mining techniques andrelated open source tools
  • Knowledge of Bayesian statistical inference andrelated machine learning methods
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