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Medellín

Data Scientist

Data
 
 

Responsibilities

  • Perform processing, cleansing, and verifying the integrity of data used for analysis
  • Do ad-hoc analysis and present results in a clear manner
  • Extend the data with third party sources
  • Enhance data collection procedures to include relevant information for the analysis
  • Select features, build and optimize classifier models using machine learning techniques

 

Qualifications and Experience

  • Fundamentals of Data Science.
  • Deep knowledge of statistics and probability.
  • Proficient in SDLC (Planned Iterative, Agile).
  • Good spoken and written English language skills.
  • Good understanding of machine learning techniques such as Decision Trees, Naïve Bayes, SVM, Neural Networks
  • Good experience with Python (preferred) but also R or C/C++
  • Experience with at least one of the data science toolkits, such as R, numpy, scikit-learn, Weka, Matlab, Spark ML.
  • Experience in using query languages such as SQL
  • Experience with at least one NoSQL database (such as MongoDB, Cassandra)
  • Experience in using visualization tools
  • Good applied statistics skills, such as distributions, statistical testing, regression
  • Good leadership and communications skills.

 

About Endava

Endava is reimagining the relationships between people and technology. For the past 20 years it has helped some of the world's leading Finance, Insurance, Telecommunications, Media, Technology and Retail companies accelerate their ability to take advantage of new business models and market opportunities. We have more than 8200 employees located in close to client locations in Denmark, Germany, Netherlands, United Kingdom, United States and nearshore delivery centers in the EU: Romania, Bulgaria, Croatia and Slovenia; Central European Countries: North Macedonia, Moldova, Serbia and Bosnia and Herzegovina; Latin America: Argentina, Colombia and Uruguay.

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