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

🏢 InPost · all InPost jobs
📍 Poland
📅 Posted 2026-08-14 · via Himalayas
🏷 Data-Science,Operations-and-Analytics,Machine-Learning-Engineering,Logistics-Analytics,Business-Intelligence,Senior-Data-Scientist-III,Senior-Machine-Learning-Data-Scientist,Senior-Staff-Data-Scientist,Senior-Data-Science,Data-Scientist
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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.

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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

InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 47,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe , as well as to-door courier and fulfilment services to e-commerce merchants. InPost ’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option.

You’ll join our Operations Data Science Team , solving some of the most complex and impactful logistics problems at scale. Your models won’t sit in notebooks - they will move millions of parcels every day!

Tech stack: Python (Pandas, NumPy, Scikit-learn, PyTorch / TensorFlow), PySpark & distributed processing, Cloud platforms (Azure / GCP / AWS). Databricks, SQL & data warehouses

Originally posted on Himalayas

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