InPost

Discussion

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

Open 33d

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
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