Responsibilities:

• Formulate business problems and strategic objectives into data science projects.
• Utilize company’s data to build the appropriate solutions using statistical heuristics and machine learning.
• Design the best approach to solve business problems by achieving the required accuracy and meeting time constraints.
• Identify the best evaluation metrics for each solution.
• Support the business by answering complex questions using advanced analytics.
• Build scalable machine learning pipelines that will be deployed in production.
• Perform exploratory data analysis to uncover hidden insights.
• Design and run experiments for hypothesis testing and analyze its results.

Qualifications:

• Bachelor degree in quantitative field.
• 3+ Years of experience in similar role.
• Experience in developing various machine learning and deep learning solutions including time series analysis, classification, regression, clustering, etc…
• Proficiency and demonstrated experience in Python data stack libraries.
• Proficiency and demonstrated experience in SQL.
• Excellent written and verbal communication skills.

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