Responsibilities :

• Implement Business Logic: Translate intricate pricing rules and commercial strategies into robust Python code and mathematical constraints.
• Refine Optimization Models: Develop and tune the simulation and revenue management algorithms that drive our pricing recommendations.
• Write Clean Code: Contribute high-quality, tested, and maintainable code to the core logic repositories.
• Analyze & Improve: Use data to validate model behavior and identify edge cases where business rules clash with algorithmic outputs.
• Collaborate: Partner with Solution Architects to define logic requirements and with Data Engineers to integrate your models into the Dagster pipelines.

Requirements:

You'll be a great fit if you have...

• 3+ years of experience in Data Science or Algorithmic Development with Python.
• Proven ability to translate complex business requirements into code and logical rules.
• Strong background in Mathematical Optimization, Simulation, or Logic Programming.
• Fluency in the PyData stack (Pandas, NumPy, SciPy).
• Experience writing production-quality code (not just notebooks) - you understand modular design and unit testing.

Nice to Have:

• Experience in Revenue Management, Air Travel, or Logistics domains.
• Familiarity with orchestration frameworks like Dagster or Airflow (from a user/logic perspective).
• Understanding of Derivative-Free Optimization.
• SQL, Clickhouse