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

🏢 InPost · all InPost jobs (21)
📍 Remote, pl
📅 Posted 2026-08-24 · via SmartRecruiters
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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

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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