About The Position
You’ll join our Operations Data Science Team, solving some of the most complex and impactful logistics problems at scale. Your models won’t sit in notebooks - they will move millions of parcels every day! Tech stack: Python (Pandas, NumPy, Scikit-learn, PyTorch / TensorFlow), PySpark & distributed processing, Cloud platforms (Azure / GCP / AWS). Databricks, SQL & data warehouses.
Requirements
- Comfortable with complex problem-solving and working with messy real-world systems
- 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
Nice To Haves
- Worked on optimization problems (routing, scheduling, operations research)
- Know graph-based approaches or network problems
- Built models that are used 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
Responsibilities
- 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
Benefits
- Opportunity to work in a diverse, international, and cross-functional environment, along with leading experts.
- Work and learn from a senior leader and their leadership team, expanding your experience and exposure in the e-commerce and logistics industries.
- Growing company that offers its people an increasing number of opportunities in several locations in Europe.
- Fulfilling careers with a range of benefits and investing in providing training opportunities for people development.
- Feel a part of the InPost community that makes an impact on sustainability, convenient deliveries, and the circular economy every day.
- Excellent working environment and flexible hours
- B2B type of contract
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
