Data Scientist

Develop and deploy predictive models to optimize enterprise Supply Chain logistics and operational decision-making.

Build advanced algorithms for Demand Forecasting to accurately project market trends and inventory requirements.

Apply core Data Science methodologies to solve complex business problems using statistical modeling and data analysis.

Design, train, and validate Machine Learning pipelines to automate insights and operational workflows.

Write clean, scalable, and maintainable data processing scripts using the Python programming language.

Partner cross-functionally with business stakeholders to translate complex data outputs into actionable strategic initiatives.

Document modeling techniques, feature engineering choices, and validation metrics thoroughly for team alignment.

Minimum requirement: At least a Bachelor's degree in Data Science, Computer Science, Statistics, or a related quantitative field.

3-5 Yrs of dedicated professional experience in data science, predictive modeling, and supply chain analytics.

Proven practical mastery in building machine learning models and processing data leveraging Python frameworks.

Strong conceptual understanding of statistical forecasting models and enterprise logistics supply networks.

Strategic analytical problem-solving capability paired with clear technical documentation and communication skills.