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Mid-level ML role in Mumbai with common tech stack but niche RGM specialization limits broad competition.
Requires CPG RGM domain expertise plus ML skills, reducing cross-industry transferability.
Explicit 5+ years, domain-specific RGM expertise and mandatory ML/tech stack make filters strict.
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Lead client projects in Revenue Growth Management (RGM) for consumer durables, focusing on maintenance, tuning, and upgrading of existing data science models.
Collaborate with cross-functional teams including AI, Engineering, and Design to deploy models and drive alignment among stakeholders.
Lead a small group of data science developers and coordinate with MLOps for model industrialization and code quality management.
Minimum 5+ years of work experience related to RGM data science and analytics.
Strong expertise in machine learning, statistical modeling, and programming languages such as Python and Spark.
Experience with cloud technologies like Azure Databricks is required.
Deep understanding of CPG data sources, algorithms, and software design principles.
Experienced in leading technical and business discussions with clients and managing stakeholder expectations in an RGM context.
Capable of designing solution frameworks with minimal guidance and driving collaboration between data science, engineering, and product teams.
Proven ability to manage code quality, documentation, version control, and modular architecture for scalable solutions across markets.