Job Description
Job Description
Responsibilities:
• Develop Data mining solutions using state-of-the-art methods according to business requirements.
• Explain Data Mining results or relationships between features to the business users or MIS &
Analytics.
• Process, clean, and verify the integrity of data used for analysis and provide data preparation
algorithms to data engineers in order to implement the project's production.
• Perform ad-hoc analysis and presenting results in a timely fashion and clear manner.
• Explore the opportunity to propose a data mining methodology to solve key business challenges.
• Explore new data mining techniques and tools that help tackle business requirements.
Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information
Technology, Data Analytics, or related field.
• Having at least 0 - 5 years of experience in Data Scientist or Data Analyst.
• Strong Data Mining techniques, such as classification, clustering, anomaly or outlier detection,
regression analysis, text mining, Optimization, etc.
• Strong Machine Learning algorithms and methodologies, such as Neural Networks, Naive Bayes,
Random Forest, Support Vector Machine, Linear Regression, ensemble voting classifier, features
selection, Local Interpretable Model-Agnostic Explanations (LIME) etc.
• Strong applied statistics skills, such as distributions, statistical testing, design of experiments,
regression, etc.
• Experience in using query languages such as SQL, Hive, Pig.
• Strong scripting and programming skills such as R, Python, Matlab, etc.
• Data-oriented personality.
• Fluent Tableau skills required.
You will be part of a great working atmosphere, performing complex work in a
collaborative team of amazing people, with forward-thinking managers in a modern,
flat organization with a startup mentality - You will have the opportunity to make a
great future!