Senior Data Scientist, Linear & Mixed-Integer Optimization

zooplus SE; Kraków; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Hybrid work

Wellbeing offers

Transport subsidy

Product discount

Job summary

zooplus SE is seeking a Senior Data Scientist to advance linear and mixed‑integer optimization within the Resource Planning Team. You will contribute to outbound logistics tools for cost‑efficient planning across a growing network handling 1,000,000+ parcels weekly.

The role requires strong Python skills (Pandas, NumPy, SciPy), experience with solvers (Gurobi), and proficiency in SQL-enabled data analysis. The company values self‑organized teams, pair programming, and DevOps practices.

Qualifications

• BS in Computer Science, Applied Mathematics, or another related field.
• 5+ years hands‑on experience solving linear optimization and mixed‑integer problems.
• 2+ years experience with commercial solvers (preferably Gurobi) for building and solving optimization models.
• Solid knowledge of advanced mathematical modeling techniques and experience with simulations.
• Proficiency in Python and scientific computing libraries such as Pandas, NumPy, and SciPy.
• Knowledge of relational databases and SQL.
• Experience with Forecasting algorithms is a plus.

Responsibilities

• Design, develop and maintain linear optimization and mixed integer models and integrate them in production.
• Analyze data, run simulations, and present actionable insights to stakeholders across engineering, product, and operations.
• Contribute to the full SDLC; from ideation and prototyping to deployment, monitoring, and continuous improvement.
• Ensure quality and performance of developed solutions through testing, validation, and monitoring in production.

Skills

Python

Pandas

NumPy

SciPy

SQL

Gurobi

Forecasting

Education

BS in Computer Science or related field

Tools

Terraform

Docker

Kubernetes

Jenkins

Oracle

PostgreSQL

Athena

Job description

zooplus SE is seeking a Senior Data Scientist to advance linear and mixed‑integer optimization within the Resource Planning Team. You will contribute to outbound logistics tools for cost‑efficient planning across a growing network handling 1,000,000+ parcels weekly.

The role requires strong Python skills (Pandas, NumPy, SciPy), experience with solvers (Gurobi), and proficiency in SQL-enabled data analysis. The company values self‑organized teams, pair programming, and DevOps practices.