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1–2 jobs· newest first

Data Scientist - Logistics AI & ML
allegrospz · Warsaw, Poland
PLN 15K–PLN 21KHybrid · Contract
Data Scientist
allegrospz · Warszawa, Poland
PLN 15K–PLN 21KHybrid · Contract · Mid

+10K new in the last hour

A

Data Scientist - Logistics AI & ML

allegrospz · Posted Nov 6, 2026

Warsaw, Mazovia, Poland
Hybrid
Contract
PLN 15K–PLN 21K per year
2+ years

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Lead AI/ML and operations research initiatives to optimize logistics and delivery processes for Allegro’s e‑commerce platform.

Compensation

PLN 14 600 - 20 825

Responsibilities

Create complex data models using machine learning, deep learning, time series forecasting, and survival models
Apply mathematical optimization techniques such as MILP and OR‑Tools to solve logistics problems
Design, develop, and maintain core AI/ML systems in production environments
Process, automate, and analyze large datasets using Python and advanced SQL
Collaborate with engineering teams to ensure availability, integrity, accuracy, and scalability of ML pipelines

Requirements

Bachelor's or higher degree in Data Science, Mathematics, Physics, Econometrics, Computer Science, Engineering, Logistics, or a related quantitative field
Nice to have: Workflow orchestration
Nice to have: AI platforms
Nice to have: Geospatial data
Nice to have: Graph analytics

Skills

Python SQL Pandas Polars Scikit-learn CatBoost Optuna Prophet PyTorch LangGraph MILP OR-Tools Airflow Google Cloud Composer Vertex AI GeoPandas H3

Benefits

Hybrid work model with flexible hours
30 days of occasional remote work
Well‑located office with amenities
MacBook Pro or Dell laptop
Cafeteria plan with medical, sports, lunch packages

See full job description

A

Data Scientist

allegrospz · Posted Nov 6, 2026

Warszawa, Poland
Hybrid
Contract · Mid
PLN 15K–PLN 21K per year
2+ years

Apply with RefersoAI Apply on careers page

Build and maintain AI/ML systems for logistics optimization at Allegro.

Compensation

PLN 14 600 - 20 825 Annual bonus based on your annual performance and company results.

Responsibilities

Data Modeling & Analysis
Operations Research & Optimization
AI System Development & Innovation
Data Processing & Automation
Data Management & Pipeline Reliability

Requirements

Graduated with a degree strongly related to quantitative methods or statistical & mathematical modeling, such as Data Science, Mathematics, Physics, Econometrics, Computer Science, Engineering, Logistics, or a similar major.
Nice to have: Airflow
Nice to have: Google Cloud Composer
Nice to have: Gemini Enterprise Agent Platform (Vertex AI)
Nice to have: Graph Analytics

Skills

Python SQL Machine Learning Artificial Intelligence Pandas/Polars Scikit-learn

Mathematical Optimization

Time series forecasting

Survival models

Google Cloud Platform

Google Cloud Composer

Gemini Enterprise Agent Platform

Benefits

Flexible working hours in the hybrid model
30 days of occasional remote work
Annual bonus
Well-located offices with kitchen, bicycle parking, terraces
MacBook Pro or Dell with Windows

See full job description