AI/ML Data Scientist - Sales Forecasting

Design, build, and deploy scalable demand forecasting models at SKU, category, channel, and regional levels using time-series and ML techniques.

Own the end-to-end ML lifecycle including data exploration, feature engineering, model training, validation, deployment, monitoring, and continuous improvement.

Develop and maintain data pipelines and simulation tools to optimize discount strategies and maximize margins, while collaborating with cross-functional teams for operational integration.

Bachelor's or Master's Degree in Computer Science, Econometrics, AI, Applied Mathematics, Statistics, or equivalent.

Minimum 6 years of experience in Data Analytics, Data Science, Data Mining, AI, Pattern Recognition, or equivalent.

Mandatory skills include data analysis, statistical methods, machine learning fundamentals, data quality management, and regulatory compliance.

Onsite role requiring full-time presence at company facilities; work arrangement involves being in-office at least 3 days per week.

Experienced in deploying advanced ML models for complex, high-dimensional datasets with strong ownership of the full ML lifecycle.

Demonstrated ability to develop scalable data pipelines and perform rigorous data validation and quality control independently.

Comfortable presenting complex technical insights and strategic recommendations to senior stakeholders and driving cross-team collaboration.