Data Driven Supply Chain Optimizer

16 hours ago

Bengaluru, Karnataka, India beBeeOperations Full time ₹ 15,00,000 - ₹ 28,00,000
Job Title
Lead Operations Research Scientist

**About the Role**

Our team is seeking a skilled Operations Research Scientist to join our ranks. As an Operations Research Scientist, you will be responsible for creating industry-leading intelligence solutions to drive best-in-class omnichannel guest experiences at the lowest cost possible.

You might focus on enabling the future transportation operating model, optimizing inventory management, driving topology planning or leveraging deep business insights and analytics to propel our Supply Chain forward. Super-powered by our people, supported by robust process and technology, we are a team of data-focused, curious minds who love to solve hard problems to enable a dynamic, fast-paced Supply Chain Network.

**Key Responsibilities**
  • Analyse large volumes of granular supply chain data to develop key performance metrics across sales, transportation, operations, and inventory.
  • Conduct root cause analysis to identify key drivers of operational performance and variances from projected outcomes.
  • Collaborate with business to evaluate opportunities, quantify potential improvements, and define key focus areas for enhancing guest experience and cost efficiency in our Supply Chain Management.
  • Apply mathematical modelling, simulation techniques, and statistical analysis to identify and solve complex supply chain challenges.
  • Work closely with cross-functional teams including building operations, transportation, and technology to develop data-driven recommendations and implement solutions.
  • Partner with product, analytical, and global supply chain teams to drive business objectives such as reducing shipping expenses, improving network speed, and optimising inventory availability for various service levels.


**Requirements**

Education: B.Tech/M.Tech/MS in a quantitative discipline such as Engineering, Statistics, Operations Research, or Mathematics.

Experience: 8-10 years of relevant experience in retail/supply chain management.

Skills: Strong experience in solving business problems using data-driven analytical techniques. Passion for empirical research and solving complex problems with data.

Technical Proficiency: Expertise in SQL, PySpark, and statistical tools such as R or Python for data analysis and building prototypes.

Supply Chain Knowledge: Experienced in supply chain concepts such as replenishment, purchasing, planning, optimisation, and logistics.

Research & Modelling: Proficiency in simulations, A/B testing, stochastic models, forecasting, and mathematical modelling.

Software & System Knowledge: Technical aptitude and familiarity with complex supply chain and logistics software systems.

Communication & Collaboration: Ability to explain complex technical concepts in a clear, concise manner to diverse audiences.

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