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Lead Data Scientist - Forecasting & Supply Chain

6 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Roles & Responsibilities:

  • Lead end-to-end development of demand forecasting models using classical time series (ARIMA, Exponential Smoothing), machine learning, and demand sensing techniques using market intelligence and historical sales data.
  • Design and implement mathematical optimization solutions for production planning, scheduling and network optimization across manufacturing and distribution points.
  • Work directly with supply chain leaders to translate business problems into quantitative models and deliver measurable improvements in service levels, cost, and efficiency.
  • Deploy and maintain solutions in production environments, collaborating with engineering and business intelligence teams.
  • Quantify business impact (e.g. xx% reduction in stockouts, xx% reduction in idle stock).


Technical & Functional Skills:

  • 6+ years of experience in demand forecasting and supply chain optimization in manufacturing or pharma domain.
  • Strong demand forecasting expertise- Time series, machine learning and deep learning models.
  • Strong programming in Python, SQL; familiarity with GCP or Azure.
  • Deep knowledge of supply chain processes - production planning, inventory management, and logistics.
  • Experience with simulation tools (e.g. Arena) is a plus.
  • Ability to communicate complex models to non-technical stakeholders and influence decision-making.
  • Good to have Expertise in solvers (e.g. Gurobi, CPLEX/ILOG, Hexaly) for MILP and Constraint-based optimization.


About the Department | Digital Process and Excellence (DPEx):

Our digital transformation journey is led by the DPEx team and is structured along the lines of Digitalize the Core and Transform with Digital.

With a mandate to ensure continuous process improvement and drive patient centric innovation, it spans all functions and operations. In other words, you could be working on projects to expedite research outcomes one day, designing customer engagement platforms the next and simplifying warehouse processes the third.


Some its priorities are:

  • Reimagine Dr. Reddy’s as a ‘platform-based’ organization.
  • Create Data as an asset that brings competitive advantage and business impact.
  • Create Digital solutions that make the lives of our patients and customers easier and better.

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