Data Scientist

Requirements:

• Bachelor's degree in computer science discipline.
• Modeling using demand forecasting tools such as Python Packages, Demantra and statistical tools such as the R or Statistical Analysis System (SAS).
• Data modeling to support business report creation SQL and BO.
• Production support capability with the following systems: an enterprise resource planning system such as SAP, Enterprise Data Warehouse systems (EDW), and Bill of Material (BOM) management.
• SAS or R Statistical Modeling.
• Competency in data visualization and developing dashboards.
• Competency in designing, querying, and integrating with relational and/or graph databases.
• Experience in algorithm design, development, and implementation
• Linear programming & optimization.
• Strong and confident communication/presentation skills.
• Proficiency in English

Responsibilities

• Design, develop and program methods, processes, and systems to consolidate and analyze big data sources to generate actionable insights and solutions for client services/ product enhancement.
• Develop & implement data scraping, data cleaning/processing; Artificial Intelligence and Natural Language Processing algorithms to analyze system design and open defects.
• Actively engage in Research & Development (R&D) projects to solve top data analytics challenges in the given Industry.
• Interact with product/service teams to identify questions for data analysis and experiments.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Identify meaningful insights from large data sources; interpret and communicate insights/ findings from analysis/experiments to product, service, and business managers.
• Build data pipelines to set the foundation for data analysis.
• Build data visualization/dashboards to provide data insights for decision-making.
• Create business cases to identify business opportunities.
• Identify product optimization opportunities through instrumentation and product funnel analysis.
• Conduct financial planning and forecasting.
• Build prescriptive analysis to estimate product feature impact.

**Kindly attach resume in English version**

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