Job Specifications:

• Proven experience as a Data Scientist or Data Analyst
• Strong math skills (e.g. Probability, Statistics, Algebra)
• Strong Understanding of machine learning and operations research
• Knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and natural language processing (NLP).
• Good knowledge in exploratory data analysis (EDA) to gain insights into patterns, trends, and relationships within the data
• Strong knowledge of Python and familiarity with Scala, R, and AWS is an asset
• Good knowledge of data structures, OOP, GIT etc.
• Experience in Data Visualization using business intelligence tools (e.g. Tableau or Power BI) and data frameworks (e.g. Hadoop)
• Demonstrated experience designing, conducting & analyzing A/B tests, and familiarity with hypothesis and significance testing.
• Experience teaching technical material in a classroom as well as conference setting
• Working knowledge of Windows and Linux operating systems
• Analytical mind and business acumen
• Problem-solving aptitude
• Speak or write with ease, clarity and impact, using a communication style appropriate to the subject and the audience
• Demonstrated ability to develop and use engaging, informative and compelling presentation methodologies
• MSc Computer Science or BSc/BA in Computer Science, Engineering or relevant field; a graduate degree in Data Science or other quantitative field is preferred

Interested candidates are requested their latest and updated CV at [email protected]