Back
Mid-level, popular Data Scientist role in Bangalore with broad ML and cloud requirements increases candidate competition.
CPG demand forecasting requires retail/shipment domain expertise, reducing cross-industry transferability.
Explicit 5+ years, mandatory forecasting, ML, SQL and cloud skills make screening strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and deploy advanced machine learning and time-series models for demand forecasting in a production environment.
Collaborate with cross-functional teams and business users to identify forecasting opportunities and define problem statements.
Provide regular updates to Product Owner and Data Science Lead on model development progress and results.
Master's degree in Computer Science, Statistics, Mathematics, or related field.
Minimum 5 years of experience in predictive modeling, time-series, machine learning, and statistical modeling.
Proficient in Python and R programming languages, including libraries like scikit-learn, as well as SQL and relational databases.
Experience with demand forecast model building and cloud platforms such as AWS, Azure, or Google Cloud.
Experienced in building and fine-tuning demand forecasting models specifically for shipment or retailer data.
Strong analytical and problem-solving skills with ability to handle complex datasets and derive insights via feature engineering.
Operationally comfortable working in collaborative, fast-paced environments with cross-functional teams and reporting to leadership.