Pricing Optimization Engineer

Fetcherr; Wrocław; On-site; PLN 180,000 - 300,000; Full time

Job summary

Fetcherr seeks a Data Science Engineer to design and implement the decision-making logic of our Price Optimizer. You will translate pricing rules into mathematical models and production-ready Python code, ensuring the engine reflects real-world pricing strategies and market dynamics.

You will collaborate with Data Engineers on ETL and Dagster pipelines, write maintainable code, and continuously refine simulation-driven revenue management solutions across large-scale data.

Qualifications

• 3+ years of experience in Data Science or algorithmic development with Python.
• 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 and unit tests.

Responsibilities

• Implement business logic: translate pricing rules into robust Python code.
• Refine optimization models and revenue management algorithms.
• Write clean, tested code for core logic repositories.
• Analyze data to validate model behavior and edge cases.
• Collaborate with Solution Architects and Data Engineers on pipelines.

Skills

Python

Mathematical optimization

Data science

Pandas

NumPy

SciPy

SQL

Dagster/Airflow

Unit testing

Modular code design

Education

BSc/MSc in Mathematics/ Physics/ statistics/ Computer Science

Tools

Dagster

Airflow

ClickHouse

Job description

Fetcherr seeks a Data Science Engineer to design and implement the decision-making logic of our Price Optimizer. You will translate pricing rules into mathematical models and production-ready Python code, ensuring the engine reflects real-world pricing strategies and market dynamics.

You will collaborate with Data Engineers on ETL and Dagster pipelines, write maintainable code, and continuously refine simulation-driven revenue management solutions across large-scale data.