Data Scientist III - Forecasting

About the job

Role: Data Scientist III - Forecasting Location: India Level: Data Scientist III Organization: Enterprise Data, Analytics, and AI (EDAA) – Data Science Key Responsibilities: - Build and improve forecasting models for sales, demand, and guest traffic under guidance from senior/principal scientists; contribute to feature engineering and model selection. - Implement robust evaluation (cross validation, rolling backtests, MAPE/MASE/Pinball loss, calibration checks) and assist with performance monitoring and drift analysis. - Productionize models in partnership with MLOps and engineering: package code, write unit/integration tests, and support deployments and model registries. - Collaborate with product and business partners to clarify requirements, define success metrics, and present findings with clear narratives and visuals. - Contribute to reusability through shared libraries, documentation, and coding standards; participate in design and code reviews. Qualifications Required: - Bachelor’s or Master’s in a quantitative field (Statistics, CS, Applied Math, OR, Econometrics) or equivalent experience. - 2–3+ years of practical experience developing and evaluating forecasting or predictive models. - Proficiency in Python (pandas, NumPy, scikit learn; statsmodels or equivalent for time series); - Familiarity with time series techniques (classical and ML based), feature engineering for seasonality/events, and hierarchical aggregation. - Strong communication and collaboration skills; curiosity and drive to learn from experiments and business feedback.

Requirements

• Python
• Time series analysis
• Feature engineering
• Collaboration
• Data evaluation

Qualifications

• Bachelor’s or Master’s in a quantitative field
• 2–3+ years of experience in forecasting models

Preferred Technologies

• Python
• Time series analysis
• Feature engineering
• Collaboration
• Data evaluation

About the company

McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise.