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

Pełny etat

InPost



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 

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
Oferta pracy dodana 7 dni temu