InPost

Runs automated parcel lockers and PUDOs

Senior Data Scientist - Operations

Data SciencePosted on Nov 11

Full-timeKraków, PolandNo salary listedRemote

About the Job

Requirements

Approximately 3+ years of experience in Data Science or Machine Learning roles.
Strong Python skills and experience with data and machine learning libraries.
Experience working with large-scale datasets.
Solid understanding of machine learning methods, including regression, clustering, and forecasting.
Ability to translate business problems into data solutions.

Responsibilities

Design routing and allocation algorithms for parcel delivery.
Solve large-scale optimization problems involving vehicles, routes, constraints, and costs.
Apply graph-based methods, clustering, regression, and forecasting.
Build models that directly impact delivery speed, cost efficiency, and customer experience.
Ship solutions into production, not just experiments.

Desired Qualifications

Experience working on optimization problems such as routing, scheduling, or operations research.
Knowledge of graph-based approaches or network problems.
Experience building models used in production at scale.
Experience with PySpark or cloud platforms such as Databricks, GCP, AWS, or Snowflake.
Experience with Machine Learning Operations or continuous integration and continuous delivery pipelines.
Familiarity with optimization techniques such as linear programming and heuristics.
Familiarity with Kedro or similar frameworks.

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

About the Company

InPost

Runs automated parcel lockers and PUDOs

InPost operates a European logistics and e-commerce platform built around automated parcel lockers (APMs) and pick-up/drop-off points (PUDOs). The system lets customers send, receive, and return parcels 24/7 by using lockers or door-to-door services, with retailers integrated into the network. It differentiates itself through its large, pan-European locker network, strategic acquisitions, and a focus on sustainable, out-of-home last-mile delivery. Its goal is to simplify e-commerce logistics, improve convenience for merchants and consumers, and expand its reach while reducing environmental impact.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Kraków, Poland
Founded: 2006

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