Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

·         Mine and analyze data from company databases to drive optimization and improvement of data quality.

·         Selecting features, building and optimizing classifiers using machine learning techniques.

·         Anomaly detection to improve Data Quality.

·         Data mining using state-of-the-art methods.

·         Enhancing data quality using AI/ML based approaches.

·         Processing, cleansing, and verifying the integrity of large volume of data used for    analysis

·         Doing ad-hoc analysis and presenting results in a clear manner

·         Rapid Proto-type development

ENIT2021

·         We’re looking for someone with 5 years of experience manipulating data sets and building statistical models, has a bachelor’s or Master’s in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:

·         Experience querying databases and using statistical computer languages: Python, R, SLQ, etc.

·         Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Random Forest, Decision Trees, etc.

·         Experience working in processing texts using NLP methods and Image Processing.

·         Great communication skills.

·         Good applied statistics skills, such as distributions, statistical testing, regression, etc.

·         Good scripting and programming skills.