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Strong employer brand, popular Data Scientist title, mid-level experience requirement, and Bengaluru location increase competition.
Core ML skills are transferable, but demand-forecasting and FMCG domain knowledge moderately restrict fit.
Explicit 5+ years, Master's degree, and mandatory time-series/ML skills increase strictness.
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Develop and deploy advanced time-series and machine learning models for demand forecasting in a production environment.
Partner with cross-functional and business teams to identify demand forecasting problems and opportunities, providing regular progress updates to leadership.
Conduct exploratory data analysis, feature engineering, and model fine-tuning to optimize forecasting accuracy and efficiency.
Master's degree in Computer Science, Statistics, Mathematics, or a related field.
5+ years of experience in predictive modeling including time-series, machine learning, and statistical modeling, specifically in demand forecasting.
Proficiency in Python, R (including scikit-learn), SQL, and experience with cloud platforms such as AWS, Azure, or Google Cloud.
Work Experience Required: 5+ years
Experienced in building and deploying time-series demand forecasting models that drive business impact.
Able to translate complex data insights into actionable forecasting solutions through close business collaboration.
Comfortable working in fast-paced, collaborative team environments requiring strong communication and problem-solving skills.