Python Developer - Demand and Supply Data Solutions

Python Developer - Demand and Supply Data Solutions
Poznań

Responsibilities: 

  • Design, develop, and maintain Python-based software tools to support evolving business requirements and operational processes.
  • Collaborate with business stakeholders to create and implement solutions that enhance demand forecasting, inventory management, and production planning.
  • Maintain and optimize SQL databases and Azure-based systems to ensure efficient data integration and support cross-functional analytical needs.
  • Partner with data analysts to identify and apply predictive modeling techniques that strengthen supply chain decision-making.
  • Conduct regular reviews, testing, and optimization of software tools to ensure scalability, reliability, and alignment with business objectives.
  • Integrate new data sources and improve the robustness and accuracy of supply chain analytics through advanced statistical and machine learning methods.
  • Analyze data related to cost, productivity, demand, transportation, and inventory to identify opportunities for process optimization and efficiency gains.
  • Develop automated scripts and tools to streamline forecasting and inventory tracking processes, incorporating machine learning recommendations where applicable.
  • Create customized data visualizations and dashboards tailored to stakeholder requirements to support data-driven decision-making.
  • Prepare and maintain comprehensive technical documentation and user guides, ensuring all materials are regularly updated to reflect system enhancements and support effective onboarding and training.
Requirements:
  • 3–5 years of professional experience in Python software development, preferably within supply chain, manufacturing, or other data-intensive environments.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • Fluent English required; additional languages are a plus.
  • Solid proficiency in SQL for database management, querying, and optimization.
  • Familiarity with Microsoft Azure; hands-on experience and certifications are considered an advantage.
  • Exposure to machine learning and predictive analytics, particularly in demand forecasting, inventory optimization, and supply chain planning, is a strong asset.
  • Excellent analytical and problem-solving skills, supported by a curiosity-driven and proactive mindset.
  • High attention to detail and the ability to translate complex data into clear, actionable insights.
  • Strong communication abilities, with the capacity to collaborate effectively with both technical and business stakeholders.
  • Proven ability to work independently and within cross-functional teams.
  • Adaptability to dynamic and fast-changing business environments.
  • Travel: 10-20% (as needed, depending on project requirements).

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