Lead Data Scientist-Operations Research

About You

1. Bachelor’s/Master’s/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, or a related quantitative field.
2. 6+ years of direct, hands-on experience building optimization models (e.g., linear, mixed-integer, network flow, or combinatorial).
3. Strong proficiency in Python and Spark for developing and deploying optimization-based solutions.
4. Solid understanding of operations research techniques and their application in real-world business problems.
5. Experience building large scale optimization models/ ability to build models with smart heuristic solutions
6. Demonstrated experience working on end-to-end solution delivery, preferably with production-grade implementation.
7. Strong verbal and written communication skills: able to translate technical detail into business insight, and vice versa.
8. Strong analytical thinking, data transformation, and problem-solving ability, especially under ambiguity.
9. Team player with the ability to collaborate effectively across cross-functional, geographically distributed teams.

Preferred Experience:

1. Familiarity with supply chain data and business processes.
2. Experience working with large datasets.
3. Experience deploying solutions at scale for business impact.
4. Background in clean code practices, version control (Git), and collaborative development environments.