Senior Data Scientist, Operations — Large-Scale Logistics

InPost Group; Kraków; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Diverse international environment

Cross-functional collaboration

Training opportunities

Flexible hours

B2B contract

Job summary

InPost, Kraków-based, is seeking a Senior Data Scientist in Operations to tackle high-impact logistics problems. You will work with Python stack, PySpark, and cloud platforms to move models from experimentation to production, solving routing, allocation and optimization challenges at scale across Europe.

Join a team that translates complex business problems into scalable data solutions, delivering measurable improvements in delivery speed, cost efficiency and customer experience while operating

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Data analysis

Large-scale datasets

ML methods

Problem solving

PySpark

Cloud platforms

Tools

Pandas

NumPy

Scikit-learn

PyTorch/TensorFlow

PySpark

Databricks

SQL

Azure/GCP/AWS

Job description

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

• Full-time

InPosthasrevolutionisede-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska,InPostprovides 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’slockers provide consumers with a cheaper and more flexible, convenient, environmentallyfriendlyand contactless deliveryoption.

You’lljoin ourOperations Data Science Team, solving some of the most complex and impactfullogisticsproblems at scale. Your modelswon’tsit in notebooks - they willmove 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

Your work will include:

• Designingrouting and allocation algorithmsfor parcel delivery
• Solvinglarge-scale optimization problems(vehicles, routes, constraints, costs)
• Applyinggraph-based methods, clustering,regressionand forecasting
• Building models that directlyimpactdelivery speed, costefficiencyand customer experience
• Shipping solutions into production - not just experiments

Whatwe’relooking for:

Wedon’texpect you to tick every box - but you should feel comfortable withcomplex 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 withlarge-scale datasets
• Solid understanding of ML methods (regression, clustering, forecasting, etc.)
• Ability to translate business problems into data solutions

You’llstand out if you:

• Have worked onoptimization problems (routing, scheduling, operations research)
• Knowgraph-based approaches or network problems
• Have built models that areused in production at scale
• Have experience withPySpark/ cloud (Databricks, GCP, AWS, Snowflake)
• Have experience with ML Ops / CI/CD pipelines
• Are familiar with optimization techniques (linear programming, heuristics)
• Are familiar withKedroor similar frameworks
• Opportunity to work in adiverse,international, andcross-functional environment,along with leadingexperts.
• 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 arange of benefitsand investing in providingtraining opportunitiesfor 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

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