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Comcast Advertising Logo Comcast Advertising · IT - Software Development

Data Scientist 3

India, Chennai · Job Posted February 19, 2026
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Job Description

The Supply Chain Data Scientist is a key contributor to the team developing decision‑support technologies for Comcast’s Demand & Supply Planning and Network Optimization functions. The role centers on Operations Research, mathematical optimization, and network design, leveraging tools such as Mixed‑Integer Linear Programming, simulation, and heuristic algorithms. Artificial Intelligence and Machine Learning are used where appropriate to support forecasting, demand sensing, and predictive analytics, complementing the core optimization solutions.

Job Responsibility

  • Design and optimize Linear Programming, Mixed‑Integer Programming, and Simulation models for Supply Chain network, capacity, and inventory decisions
  • Develop and evaluate advanced optimization and OR techniques to solve complex business problems
  • Perform data wrangling, programming, and statistical analysis to support optimization and ML initiatives
  • Build and validate ML models that enhance forecasting, classification, and decision‑making
  • Create training materials and documentation to help teams apply optimization and analytics tools
  • Monitor Supply Chain KPIs to identify opportunities to refine optimization and statistical models

Requirements

  • 5+ years of advanced Supply Chain Data Science experience, ideally within Telecom, CPG, or retail replenishment
  • Master’s degree in operations research, Statistics, Supply Chain, Engineering, Computer Science, or related discipline
  • Strong experience in Supply Chain Network Optimization and Inventory Optimization, including mathematical modeling and scenario evaluation
  • Proficiency with optimization tools such as Gurobi, AMPL, or similar solvers/modeling frameworks
  • Experience with BI/reporting tools such as Tableau, Power BI, or QlikView
  • Proven ability to apply data science and optimization techniques to deliver measurable business impact
  • Exceptional communication and collaboration skills, able to partner effectively with technical and business teams
  • Experience in consumer goods or retail environments leveraging advanced modeling to drive operational outcomes
  • Flexibility to collaborate with US based teams and support critical work aligned to U.S. time zones
  • Knowledge of demand planning, forecasting processes, and related metrics (forecast accuracy, bias, demand attainment) is a plus

Nice to have

Knowledge of demand planning, forecasting processes, and related metrics (forecast accuracy, bias, demand attainment)

What we offer

  • Paid Time off
  • Physical Wellbeing benefits
  • Financial Wellbeing benefits
  • Emotional Wellbeing benefits
  • Life Events + Family Support benefits
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