Data Scientist I - Supply chain Analytics

Lead analytics and optimization projects in supply chain, transportation, logistics, and network design domains.

Develop and enhance transportation models and digital supply chain solutions to optimize costs and improve service levels.

Build data pipelines, dashboards, and visualizations to support forecasting and operational decision-making, collaborating with cross-functional teams for scalable analytical solutions.

Bachelor’s or Master’s degree in Engineering/Technology, Supply Chain Management, Logistics, or related fields.

4–6 years of experience in logistics analytics, transportation, optimization, simulation, machine learning, or AI.

Strong proficiency in Python and SQL/SAS, with experience in data engineering, integration, and data visualization tools like Power BI.

Position requires onsite work in Bangalore five days a week; no visa sponsorship available.

Experienced professional skilled in transportation modeling, logistics optimization, and supply chain analytics with a technical background in AI/ML and Operations Research.

Proficient in developing end-to-end analytical solutions including optimization models, data pipelines, and dashboards supporting strategic decision-making.

Capable of working effectively with cross-functional teams to deliver scalable, automation-focused analytics in a corporate environment.