Data Scientist - Logistics AI & ML

14.6k - 20.8k PLN14 600 - 20 825 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

MidHybryda·WarszawaFull-time·Umowa o pracę

#475188·Dodano wczoraj·0

Źródło: Allegro Sp. z o.o.

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Tech Stack / Keywords

Python SQL Google Cloud Platform PyTorch Scikit-learnCatBoostLangGraph AirflowOR-ToolsMILP

Podsumowanie oferty

You will build AI/ML systems that optimize delivery costs and improve logistics network efficiency, including parcel lockers and courier operations. As part of the Delivery Experience Data Science team, you will develop and maintain production systems using machine learning, Python, SQL, and Google Cloud Platform.

Wymagania

At least 2 years of experience building Machine Learning and Artificial Intelligence solutions deployed in production.
Deep understanding of AI/ML methods, especially decision tree-based algorithms, time series models, and neural networks.
Proficiency in Python and comfort with software development tools.
Experience with AI/ML Python libraries: Pandas, Polars, Scikit-learn, CatBoost, Optuna, Prophet, PyTorch, and LangGraph.
Advanced knowledge of SQL.
Ability to translate business challenges into AI/ML problems and tackle them using novel approaches.
Polish at B2 level and English at B2 level.
A degree related to quantitative methods or statistical and mathematical modeling, such as Data Science, Mathematics, Physics, Econometrics, Computer Science, Engineering, or Logistics.

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 libraries such as GeoPandas and H3.

Obowiązki

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 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.
Test novel approaches to minimize costs.

Collaboration & Communication:

Work with DEX stakeholders throughout the lifecycle of AI/ML systems.
Communicate advanced insights and foster knowledge sharing within the team.

Benefity

Flexible working hours, with start times between 7:00 a.m. and 10:00 a.m.
Annual bonus based on individual performance and company results.
A 16-inch or 14-inch MacBook Pro, or a corresponding Dell with Windows, plus accessories.
A cafeteria plan with a choice of benefits, including medical, sports, or lunch packages, insurance, and purchase vouchers.
Employer-paid English classes related to the specific nature of the job.
A training budget, hackathons, and an internal learning platform with trainings.
An additional day off for volunteering.
Social events for Allegro employees.
Offices with bicycle parking, kitchens, terraces, raised desks, ergonomic chairs, and interactive conference rooms.

Elastyczne godziny

Premie

Parking dla rowerów

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Kursy językowe

Dofinansowanie szkoleń

Szkolenia wewnętrzne

Płatny urlop

Spotkania integracyjne

Allegro

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