About
Articulate ambiguous business questions and apply quantitative modeling techniques to derive solutions Design and implement linear programming and optimization models using Python and MS Excel Present technical demos and interpret complex analytical outputs into actionable insights for stakeholders
Required qualifications:
Bachelor's degree in Statistics, Mathematics, Operations Research, Industrial Engineering, Business Analytics, or a related field Minimum of 3 years of relevant experience with analytics tools (e.g., R, Python, SQL) and data visualization software (e.g., Tableau, PowerBI) Experience processing and validating large datasets (millions to billions of rows) Proficiency in architecting complex business processes with Python-based pipelines for data processing Ability to travel domestically up to 10% for client visits and team meetings
Languages
- English
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