Senior Data Scientist - Operations & Logistics Optimization

InPost

Kraków

On-site

PLN 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Flexible hours
Career development opportunities
Diverse international environment

Job summary

InPost, located in Kraków, is seeking a skilled Data Scientist to join their Operations Data Science Team. You will be responsible for designing algorithms that optimize parcel delivery logistics, applying complex data methods to improve efficiency and customer satisfaction.

The ideal candidate will have strong Python skills and experience with large datasets, machine learning methods, and deploying solutions in production environments. InPost offers a B2B contract along with flexible working hours and opportunities for professional development.

Qualifications

  • 3+ years in Data Science / ML roles.
  • Strong Python skills and experience with data/ML libraries.
  • Solid understanding of ML methods (regression, clustering, forecasting).
  • Ability to translate business problems into data solutions.

Responsibilities

  • Designing routing and allocation algorithms for parcel delivery.
  • Solving large-scale optimization problems involving vehicles, routes.
  • Applying graph-based methods, clustering, regression, and forecasting.
  • Building models impacting delivery speed and customer experience.
  • Shipping solutions into production.

Skills

Problem-solving
Python
Data/ML libraries
Large-scale datasets
ML methods

Tools

PySpark
Cloud platforms
SQL
Databricks

Job description

InPost, located in Kraków, is seeking a skilled Data Scientist to join their Operations Data Science Team. You will be responsible for designing algorithms that optimize parcel delivery logistics, applying complex data methods to improve efficiency and customer satisfaction.

The ideal candidate will have strong Python skills and experience with large datasets, machine learning methods, and deploying solutions in production environments. InPost offers a B2B contract along with flexible working hours and opportunities for professional development.

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