Data Scientist Logistics AI & ML
We are looking for people who:
- Experience: Have at least 2 years of experience in building Machine Learning and Artificial Intelligence solutions deployed in production.
- AI/ML Knowledge: A deep understanding of AI/ML methods, especially decision tree-based algorithms, time series models, and neural networks.
- Programming & Tools: Proficient in Python and highly comfortable with software development tools. Experience with core AI/ML Python libraries: Pandas/Polars, Scikit-learn, CatBoost, Optuna, Prophet, PyTorch, and LangGraph.
- Databases: Advanced knowledge of SQL.
- Analytical Thinking: Ability to translate business challenges into AI/ML problems and tackle them using novel approaches.
- Languages: Polish B2 and English B2.
- Education: 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:
- 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 (like MILP), and Graph Analytics.
- Experience with geospatial data and relevant libraries (e.g., GeoPandas, H3).
Welcome to the Delivery Experience (DEX) Data Science team, where we pride ourselves on developing data-driven products that propel the business and logistics of Allegro forward. Our expertise spans across a wide range of logistics process optimization, volume management, and delivery time prediction. We utilize a mix of Machine Learning (ML), Operations Research optimization tools, Google Cloud Platform components, and advanced data analytics to solve complex business challenges.
We are building core Artificial Intelligence systems that dynamically optimize delivery costs and improve the efficiency of our network - including parcel lockers (One Box) and courier operations. Joining us means becoming part of a Data Science group that collaborates closely with product, engineering, and operations to build AI/ML systems running directly in production environments.
Important things for you:
- The salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost):
- PLN 14 600 - 20 825
- Annual bonus based on your annual performance and company results.
- Our team is based in Warsaw.
Why is it worth working with us?
- Data-Driven Impact: Data Science plays a key role at Allegro. Our models and analyses significantly optimize logistics operations, lowering costs and shortening delivery times on one of the world's largest e-commerce platforms.
- Innovation: Direct involvement in building optimization solutions that revolutionize the logistics network and last-mile processes.
- Skill Development: You will work alongside top specialists, gaining access to large-scale data sets and a modern technology stack on GCP.
- Proven Solutions: Our solutions aren't just theoretical. They demonstrate effectiveness and performance in real-world production environments, handling real logistics conditions and massive e-commerce scale.
What's in it for you:
- Flexible working hours in the hybrid model (4 days in the office / 1 day remote) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.
- Annual bonus based on your annual performance and company results.
- Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).
- A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.
- A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).
- English classes that we pay for related to the specific nature of your job.
- A training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings.
- An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.
- Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.
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