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1 mo agofound 2 h ago
(Senior) Data Scientist - Operations (m/f/n)
What the posting is about
Design and optimize parcel delivery routes and allocation algorithms. Solve large-scale optimization problems using graph-based methods, clustering, regression, and forecasting. Build and deploy models that directly impact delivery speed, cost efficiency, and customer experience.
Read out of the posting
Levelmid
Experience asked3+ years
EmploymentFull time
LocationKraków, Województwo małopolskie, Poland
RemoteYes
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-08-24
Found viasmartrecruiters, direct from their system
We saw it 1 month after it went up.
The posting, as the company wrote it
Employment: Full-time
Experience level: Mid-Senior Level
Job Description
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 
Qualifications
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 
Additional Information
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
Company Description
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 
Also open at InPost
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