Key skills
AWSCloudGoogle Cloud PlatformPySparkPythonMLSnowflakeDatabricksParcelGCPGoogle CloudCI/CDLeadership
About this role
Role Overview
- Designing routing and allocation algorithms for parcel delivery
- Solving large-scale optimization problems (vehicles, routes, constraints, costs)
- Applying graph-based methods, clustering, regression and forecasting
- Building models that directly impact delivery speed, cost efficiency and customer experience
- Shipping solutions into production
- not just experiments
Requirements
- ~3+ years in Data Science / ML roles
- Strong Python skills and experience with data/ML libraries
- Experience working with large-scale datasets
- Solid understanding of ML methods (regression, clustering, forecasting, etc.)
- Ability to translate business problems into data solutions
- Optimization problems (routing, scheduling, operations research)
- Graph-based approaches or network problems
- Building models in production at scale
- Experience with PySpark / cloud (Databricks, GCP, AWS, Snowflake)
- Experience with ML Ops / CI/CD pipelines
- Familiar with optimization techniques (linear programming, heuristics)
- Familiar with Kedro or similar frameworks
Tech Stack
- AWS
- Cloud
- Google Cloud Platform
- PySpark
- Python
Benefits
- Opportunity to work in a diverse, international, and cross-functional environment
- Work and learn from a senior leader and their leadership team
- Fulfilling careers with a range of benefits
- Investment in providing training opportunities for employee development
- Excellent working environment and flexible hours