Back
Strong Tier-1 brand and Bangalore location, mitigated by niche optimization expertise requirement.
Role demands deep optimization and supply-chain decision-science experience, limiting cross-industry transferability.
Explicit 7+ years, mandatory optimization expertise, Azure/Databricks skills and leadership expectations increase strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, and deployment of mathematical optimization and prescriptive analytics solutions to solve complex customer operations problems.
Translate business challenges into optimization-driven decision frameworks integrating constraints and objectives, enhancing decisions with ML, AI, and GenAI capabilities.
Oversee full lifecycle of data science projects including ideation, production, continuous improvement, and manage a team of up to 5 data scientists.
7+ years experience delivering data science solutions in multi-vendor environments with global project leadership.
Strong expertise in Mathematical Optimization / Operations Research techniques (linear programming, mixed-integer, stochastic optimization).
Proficiency in Python, R, or similar programming languages; knowledge of Azure, Data Lake Store, SQL DW, Databricks, and visualization tools like Power BI or Tableau.
Work Experience Required: 7+ years. Notice Period: Not explicitly mentioned in the JD.
Experienced in applying optimization and advanced analytics specifically in customer operations, supply chain, or planning contexts.
Technical leader comfortable managing teams, vendor relationships, and delivering data science solutions at scale following Agile/DevOps/ML lifecycle.
Familiarity with cloud-based data platforms and hands-on exposure to GenAI, LLMs, or Agentic AI for decision automation or scenario simulation.