Accepting Applications
Full-time
Hybrid
Posted 1 hour, 35 minutes ago
0 views
0 applications
Job Description
We are looking for a
**Data Scientist – Supply Chain Optimization**
with
**2\+ years of relevant experience**
in solving complex business problems using
**mathematical optimization, heuristics, and Python\-based solution development**
.
The ideal candidate should have strong expertise in
**MILP, heuristic and meta\-heuristic techniques**
, along with a solid understanding of
**supply chain planning and operational decision\-making**
. This role involves designing practical and scalable optimization solutions for real\-world enterprise use cases such as
**production scheduling, inventory optimization, supply planning, allocation, and logistics optimization**
.
The candidate should be comfortable translating business requirements into mathematical models, building robust Python\-based solutions, and working closely with business, product, and engineering teams to deliver deployable decision science solutions.
**Must Have**
* **2\+ years of relevant experience**
in Data Science, Operations Research, Optimization, or Decision Science
* Strong hands\-on expertise in:
* **MILP (Mixed Integer Linear Programming)**
* **Linear / Integer Programming**
* **Heuristic algorithms**
* **Meta\-Heuristic techniques**
(e.g., Genetic Algorithms, Simulated Annealing, Tabu Search, etc.)
* Strong proficiency in
**Python**
for model development and solution building
* Experience with one or more optimization frameworks / solvers such as:
* **Pyomo**
* **PuLP**
* **OR\-Tools**
* **Gurobi / CPLEX**
(preferred)
* Strong understanding of
**Supply Chain domain**
, with experience in one or more of the following areas:
* Supply Planning
* Production Planning / Scheduling
* Inventory Optimization
* Allocation / Replenishment
* Transportation / Logistics Optimization
* Strong problem\-solving and analytical thinking skills
* Ability to formulate business problems into:
* Decision variables
* Constraints
* Objective functions
* Scenario / what\-if models
* Experience building clean, modular, and maintainable Python solutions suitable for production environments
* Basic understanding of:
1. Packaging and deployment of Python applications / services
2. Linux / command\-line fundamentals
3. **Docker / containers**
* Ability to collaborate effectively with cross\-functional teams including business, product, engineering, and data teams
**Good to Have**
* Experience in
**real\-world supply chain optimization deployments**
in production or enterprise environments
* Exposure to
**large\-scale combinatorial optimization**
and performance tuning of optimization models
* Experience with
**hybrid solution approaches**
combining exact optimization with heuristics / rule\-based methods
* Familiarity with:
1. **SQL**
2. **Pandas / NumPy**
3. **FastAPI / Flask**
for model serving
4. **Git / version control**
* Exposure to cloud environments such as
**AWS / Azure / GCP**
* Understanding of
**simulation, scenario planning, or decision intelligence platforms**
* Exposure to
**Agentic AI / Agentic Systems**
or AI\-assisted decision support concepts, such as:
* Multi\-agent workflows
* Tool orchestration
* RAG / context\-aware AI systems
* LLM\-assisted decision support
* Ability to explain optimization logic, assumptions, and outputs clearly to business stakeholders
Login to Apply
Don't have an account? Register