Data Scientist - Logistics AI & ML
Tasks
- Build machine learning models for logistics optimization
- Build reliable machine learning pipelines and orchestrations
- Collaborate with product engineering and operations stakeholders
- Create survival models for delivery processes
- Design and maintain AI machine learning systems in production
- Develop deep learning and time series forecasting models
- Implement mathematical optimization for logistics problems
- Process and automate data using Python and SQL
- Translate business problems into AI ML and optimization tasks
Perks/Benefits
- Annual bonus
- Cafeteria fringe benefits
- English classes
- Hackathons
- Hybrid work schedule
- Insurance vouchers
- Lunch package
- Medical insurance
- Remote work days
- Social events
- Sports package
- Training budget
- Volunteering day off
Skills/Tech-stack
Agent platform | Airflow | CatBoost | Cloud Composer | Consul | Decision Trees | Deep learning | Docker | Gemini Enterprise | Gemini Enterprise Agent Platform | Geopandas | GitHub | GitHub Actions | Google Cloud | Google Cloud Composer | Graph analytics | H3 | Kubernetes | Langgraph | MILP | Machine Learning | Mathematical Optimization | Microservices | Neural Networks | OR-Tools | Operations Research | Optuna | Pandas | Polars | Production Machine Learning | Prophet | PyTorch | Python | SQL | Scikit-learn | Series forecasting | Service Mesh | Survival analysis | Time Series | Time Series Forecasting | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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