Data Science Engineer: Pricing & Optimization

Fetcherr; United States; Vor Ort; USD 120.000 - 160.000; Vollzeit

Zusammenfassung

Fetcherr is seeking a Data Science Engineer in the United States to design and implement the decision-making logic of the price optimizer. You will translate business rules into mathematical models and production-ready Python code, bridging Data Science and Product to reflect real-world pricing strategies.

You will partner with Data Engineers to integrate models into Dagster pipelines, ensuring scalable, testable code that supports revenue management decisions and continuous improvement across

Qualifikationen

• 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) and SQL.
• Experience writing production-quality code with modular design and unit testing.
• Familiarity with orchestration frameworks like Dagster or Airflow.

Aufgaben

• Translate intricate pricing rules into robust Python code and mathematical constraints.
• Refine optimization models and simulation algorithms for revenue management decisions.
• Write clean, tested, and maintainable code for core logic repositories.
• Collaborate with Solution Architects to define logic requirements and with Data Engineers to integrate your models into Dagster pipelines.
• Analyze data to validate model behavior and identify edge cases where business rules clash with algorithmic outputs.

Kenntnisse

Python

Data Science

Optimization

SQL

Unit Testing

Dagster

Airflow

Mathematics

Physics

Pandas

NumPy

SciPy

Ausbildung

Mathematics / Statistics / CS degree

Tools

ClickHouse

Jobbeschreibung

Fetcherr is seeking a Data Science Engineer in the United States to design and implement the decision-making logic of the price optimizer. You will translate business rules into mathematical models and production-ready Python code, bridging Data Science and Product to reflect real-world pricing strategies.

You will partner with Data Engineers to integrate models into Dagster pipelines, ensuring scalable, testable code that supports revenue management decisions and continuous improvement across