(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