Supply Chain Data Scientist 3
Comcast Corporation (company site, opens in a new tab)5–7 yrsChennaiOn-siteDirect career pageEst. 18–30 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy time-series forecasting and machine learning models to improve demand planning accuracy and supply chain performance.
- Lead end-to-end data science projects including data preparation, feature engineering, model development, and productionization in partnership with US-based teams.
- Monitor forecast performance metrics and collaborate with stakeholders to translate insights into actionable business recommendations.
Minimum Requirements
- 5+ years of experience in data science, forecasting, or predictive analytics, preferably in Supply Chain, Telecom, Retail, or CPG.
- Master's degree in data science, statistics, computer science, or related field preferred; equivalent combination of coursework and experience considered.
- Proficiency with time-series forecasting techniques (e.g., ARIMA, Prophet, XGBoost) and machine learning models applied to demand forecasting.
- Experience with Python, SQL, Excel (PowerPivot), PowerPoint, GitHub, and cloud ML platforms such as AWS SageMaker, Azure, Google Cloud, Databricks.
Ideal Candidate Profile
- Experienced in building and scaling large-scale forecasting systems and demand planning processes with measurable improvements in forecast accuracy or business KPIs.
- Comfortable working autonomously and managing end-to-end data science projects, including cross-functional collaboration with US-based teams.
- Strong understanding of modern data ecosystems, cloud infrastructure, ETL best practices, and feature engineering for hierarchical time-series forecasting.