Data Scientist - Logistics AI & ML

Welcome to the Delivery Experience (DEX) Data Science team. The team develops data-driven products supporting logistics process optimization, volume management, and delivery-time prediction. It uses Machine Learning, Operations Research optimization tools, Google Cloud Platform components, and advanced data analytics to solve complex business challenges.

The team is building core Artificial Intelligence systems that dynamically optimize delivery costs and improve network efficiency, including parcel lockers (One Box) and courier operations. The role involves collaborating closely with product, engineering, and operations to build AI/ML systems running directly in production environments.

Important things for you

• Salary range, depending on skill set (contract of employment, tax-deductible cost): PLN 14,600–20,825
• Annual bonus based on annual performance and company results
• Team based in Warsaw

In your daily work you will handle the following tasks

• Data Modeling & Analysis: Create complex data models using machine learning, deep learning, time-series forecasting, and survival models.
• Operations Research & Optimization: Use mathematical optimization techniques, such as MILP and OR-Tools, to solve complex logistics problems.
• AI System Development & Innovation: Design, develop, and maintain core AI/ML systems in production environments; research new AI methodologies.
• Data Processing & Automation: Use Python and advanced SQL to process, automate, and analyze large datasets, ensuring high-quality input data.
• Data Management & Pipeline Reliability: Collaborate with engineering teams to support the availability, integrity, accuracy, and scalability of ML pipelines and workflow orchestrations.
• Research & Problem-Solving: Translate business challenges and supply-chain bottlenecks into AI/ML or optimization problems; proactively test novel approaches to minimize costs.
• Collaboration & Communication: Work with DEX stakeholders throughout the AI/ML-system lifecycle, clearly communicate advanced insights, and share knowledge within the team.

We are looking for people who

• Have at least 2 years of experience building Machine Learning and Artificial Intelligence solutions deployed in production.
• Have a deep understanding of AI/ML methods, especially decision tree-based algorithms, time-series models, and neural networks.
• Are proficient in Python and comfortable with software development tools.
• Have experience with core AI/ML Python libraries: Pandas/Polars, Scikit-learn, CatBoost, Optuna, Prophet, PyTorch, and LangGraph.
• Have advanced knowledge of SQL.
• Can translate business challenges into AI/ML problems and tackle them using novel approaches.
• Have Polish at B2 level and English at B2 level.
• Hold a degree strongly related to quantitative methods or statistical and mathematical modeling, such as Data Science, Mathematics, Physics, Econometrics, Computer Science, Engineering, Logistics, or a similar major.

Nice to have

• Proficiency in workflow orchestration and AI platforms, including Airflow, Google Cloud Composer, and Gemini Enterprise Agent Platform (Vertex AI).
• Familiarity with Operations Research concepts, mathematical optimization techniques such as MILP, and Graph Analytics.
• Experience with geospatial data and relevant libraries, such as GeoPandas and H3.

Why is it worth working with us?

• Data-Driven Impact: Models and analyses optimize logistics operations, lower costs, and shorten delivery times at large scale.
• Innovation: Direct involvement in building optimization solutions for the logistics network and last-mile processes.
• Skill Development: Work with specialists, large-scale datasets, and a modern technology stack on GCP.
• Proven Solutions: Build solutions proven in real-world production environments under real logistics conditions and large e-commerce scale.

What’s in it for you

• Flexible working hours in a hybrid model: 4 days in the office and 1 day remote. Start between 7:00 a.m. and 10:00 a.m., plus 30 days of occasional remote work.
• Annual bonus based on annual performance and company results.
• Well-located offices with fully equipped kitchens, bicycle parking, green terraces, and work tools such as raised desks, ergonomic chairs, and interactive conference rooms.
• A 16-inch or 14-inch MacBook Pro, or a corresponding Dell with Windows, plus necessary accessories.
• Fringe benefits through a cafeteria plan, including medical, sports or lunch packages, insurance, and purchase vouchers.
• Employer-paid English classes related to the job.
• Training budget, inter-team tourism, hackathons, and an internal learning platform.
• An additional day off for volunteering.
• Social events, including Spin Kilometers, Family Day, Fat Thursday, and Advent of Code.

You will join a team of specialists that values knowledge and experience sharing. The role offers autonomy in team organization, continuous development, and freedom to choose technologies that solve problems while taking responsibility for what you create.

You will have access to an internal self-service ecosystem and tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions, as well as modern AI tools to automate repetitive tasks. The environment includes more than 1,000 microservices, the Hermes open-source data bus, a Service Mesh, tens of petabytes of data, and production machine learning.