Data Scientist - Operations

Responsibilities

• Designing routing and allocation algorithms for parcel delivery
• Solving large-scale optimization problems involving vehicles, routes, constraints, and costs
• Applying graph-based methods, clustering, regression, and forecasting
• Building models that directly impact delivery speed, cost efficiency, and customer experience
• Shipping solutions into production environments

Requirements

• 3+ years in Data Science or ML roles
• Strong Python skills with experience in data/ML libraries
• Experience working with large-scale datasets
• Solid understanding of ML methods such as regression, clustering, and forecasting
• Ability to translate business problems into data solutions

Preferred Qualifications

• Experience with optimization problems like routing, scheduling, or operations research
• Knowledge of graph-based approaches or network problems
• Experience building production-scale models
• Proficiency with PySpark or cloud platforms (Databricks, GCP, AWS, Snowflake)
• Experience with ML Ops or CI/CD pipelines
• Familiarity with optimization techniques like linear programming or heuristics
• Experience with Kedro or similar frameworks

About the Company

InPost is a leading European OOH e-commerce enablement platform, providing delivery services through a massive network of Automated Parcel Machines (APMs) and pick-up drop-off points (PUDO) across nine countries.