(Senior) Data Scientist - Operations (m/f/n)

Your work will include: 

• Designing routing and allocation algorithms for parcel delivery 
• Solving large-scale optimization problems (vehicles, routes, constraints, 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 - not just experiments 

What we’re looking for: 

We don’t expect you to tick every box - but you should feel comfortable with complex problem-solving and working with messy real-world systems. 

Must have: 

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

You’ll stand out if you: 

• Have worked on optimization problems (routing, scheduling, operations research) 
• Know graph-based approaches or network problems 
• Have built models that are used in production at scale 
• Have experience with PySpark / cloud (Databricks, GCP, AWS, Snowflake) 
• Have experience with ML Ops / CI/CD pipelines 
• Are familiar with optimization techniques (linear programming, heuristics) 
• Are familiar with Kedro or similar frameworks 

Why join InPost?

• Opportunity to work in a diverse, international, and cross-functional environment, along with leading experts.
• You work and learn from a senior leader and their leadership team, expanding your experience and exposure in the e-commerce and logistics industries.
• InPost is a growing company that offers its people an increasing number of opportunities in several locations in Europe.
• Fulfilling careers with a range of benefits and investing in providing training opportunities for people development.
• You will feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day.
• Excellent working environment and flexible hours
• We offer B2B type of contract