(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 the company?

• 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.

• the company 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 company 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

The company  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,  the company 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. The company’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