Data Scientist - Logistics AI & ML

Our requirements

• 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.

Optional

• 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).

Your responsibilities

• Data Modeling & Analysis: Creating complex data models using machine learning, deep learning, time series forecasting, and survival models.
• Operations Research & Optimization: Utilizing mathematical optimization techniques (such as MILP and OR-Tools) to solve complex logistics problems.
• AI System Development & Innovation: Designing, developing, and maintaining core AI/ML systems directly in production environments, as well as researching new AI methodologies.
• Data Processing & Automation: Employing Python and advanced SQL to process, automate, and analyze large datasets, ensuring high-quality input data.
• Data Management & Pipeline Reliability: Collaborating closely with engineering teams to foster the availability, integrity, accuracy, and scalability of ML pipelines and workflow orchestrations.
• Research & Problem-Solving: Translating complex business challenges and supply chain bottlenecks into AI/ML or optimization problems, proactively testing novel approaches to minimize costs.
• Collaboration & Communication: Working effectively with numerous DEX stakeholders throughout the full lifecycle of AI/ML systems, providing clear communication of advanced insights, and fostering knowledge sharing within the team.

About the project

#goodtobehere means that:

• You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.
• You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.
• You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.
• You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).
• You will create solutions that will be used (and loved!) by your friends, family and millions of our customers.
• You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.
• You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!

What we offer

• 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.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• integration events
• no dress code
• leisure zone
• extra social benefits