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September 17, 2026

Senior Data Scientist (Freelance)

Senior • Remote

Poznań, Pl-30, Poland

Quick Facts

  • Role: Senior Data Scientist (Freelance)

  • Work mode: 100% remote (CET working hours)

  • Contract: B2B only (freelance), full-time

  • Start: ASAP

  • Duration: until end of 2026 (with possibility to extend)

Description

You will develop, test, and deploy forecasting algorithms and optimization models, owning the full production lifecycle from monitoring and incident response to performance tuning. You’ll scale forecasting models to optimize inventory replenishment, improve availability, and reduce delivery latency while collaborating with product, engineering, and design teams. You’ll also serve as a reference for system architecture and ensure reliable, low-latency integration with the platform.

Responsibilities

  • End-to-end ownership of forecasting algorithms and optimization models (development to deployment)

  • Model monitoring, incident response, and performance tuning

  • Scale forecasting models to improve inventory replenishment, availability, and delivery latency

  • Work in cross-functional teams (product, engineering, design)

  • Influence system architecture and align model integration with platform design

Requirements

  • 7+ years of experience designing robust end-to-end data workflows

  • At least 4 years of experience in forecasting techniques

  • Expert level in Python, Docker, and cloud platforms (AWS or GCP)

  • Solid understanding of the full model lifecycle

  • Deep operational knowledge of AI frameworks (TensorFlow, PyTorch) and their use in mission-critical systems

  • Experience with neural networks and full model lifecycle management including drift detection and rollback strategies

  • C1 level written and spoken English

Benefits

  • Flexibility: 100% remote work

  • Dev-friendly processes: Continuous Integration and Code Review; Agile methodology

  • Diverse projects across industries (e.g., fintech, healthcare, insurance, education)

  • Growth: collaborate with experts and develop hard and soft skills

  • Knowledge: knowledge sharing sessions and internal knowledge base

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