Data Scientist - Logistics AI & ML

Location: Warsaw, Poland; hybrid model with 4 days in the office and 1 day remote, plus 30 days of occasional remote work.

Salary: PLN 14,600–20,825 per month under an employment contract, depending on skills; annual performance and company-results bonus.

Company

hirify.global operates a large e-commerce platform and develops data-driven logistics and delivery solutions at significant production scale.

What you will do

• Build and maintain production AI/ML systems that optimize delivery costs, parcel-locker and courier operations, logistics efficiency, and delivery times.
• Create data models using machine learning, deep learning, time-series forecasting, and survival models.
• Apply mathematical optimization, including MILP and OR-Tools, to logistics and supply-chain problems.
• Process and analyze large datasets with Python and advanced SQL, while automating data workflows and ensuring input-data quality.
• Collaborate with engineering teams on the availability, integrity, accuracy, and scalability of ML pipelines and workflow orchestration.
• Translate business challenges and supply-chain bottlenecks into AI/ML or optimization problems, research new approaches, and communicate insights to DEX stakeholders.

Requirements

• 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 algorithms, time-series models, and neural networks.
• Proficiency in Python and strong familiarity with software-development tools.
• Experience with Pandas or Polars, Scikit-learn, CatBoost, Optuna, Prophet, PyTorch, and LangGraph.
• Advanced knowledge of SQL.
• Ability to translate business challenges into AI/ML problems and solve them with novel approaches.
• Polish at B2 level and English at B2 level.
• Degree in a quantitative or statistical and mathematical modelling field, such as Data Science, Mathematics, Physics, Econometrics, Computer Science, Engineering, Logistics, or a similar major.

Nice to have

• Experience with workflow orchestration and AI platforms, including Airflow, Google Cloud Composer, and Gemini Enterprise Agent Platform (Vertex AI).
• Knowledge of Operations Research, mathematical optimization such as MILP, and graph analytics.
• Experience with geospatial data and libraries such as GeoPandas and H3.

Culture & Benefits

• Flexible working hours, with start times between 7:00 and 10:00, in a hybrid schedule of four office days and one remote day.
• MacBook Pro or equivalent Dell laptop and required accessories.
• Cafeteria benefits including medical, sports, lunch, insurance, and purchase-voucher packages.
• Paid English classes, training budget, hackathons, internal learning platform, and an additional volunteering day.
• Autonomous team organization, knowledge sharing, modern AI tools, and access to large-scale production data and technology.
• Additional social events, internal communities, conferences, podcasts, and technical development opportunities.

Hiring process

• Submit a CV to apply.