(Senior) Data Scientist - Operations (m/f/n)
# (Senior) Data Scientist - Operations (m/f/n) **InPost** · Poland · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Science]` `[Operations-and-Analytics]` `[Machine-Learning-Engineering]` `[Logistics-Analytics]` `[Business-Intelligence]` `[Senior-Data-Scientist-III]` `[Senior-Machine-Learning-Data-Scientist]` `[Senior-Staff-Data-Scientist]` `[Senior-Data-Science]` `[Data-Scientist]` --- ### About the Role Your work will include: - 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 What we’re looking for: We don’t expect you to tick every box - but you should feel comfortable with complex problem-solving and working with messy real-world systems. Must have: - ~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 You’ll stand out if you: - Have worked on optimization problems (routing, scheduling, operations research) - Know graph-based approaches or network problems - Have built models that are used in production at scale - Have experience with PySpark / cloud (Databricks, GCP, AWS, Snowflake) - Have experience with ML Ops / CI/CD pipelines - Are familiar with optimization techniques (linear programming, heuristics) - Are familiar with Kedro or similar frameworks Why join InPost ? - Opportunity to work in a diverse , international , and cross-functional environment, along with leading experts . - You work and learn from a senior leader and their leadership team, expanding your experience and exposure in the e-commerce and logistics industries. - InPost is a 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. - You will 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 - We offer B2B type of contract InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 47,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe , as well as to-door courier and fulfilment services to e-commerce merchants. InPost ’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option. 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 Originally posted on Himalayas
- Data-Science
- Operations-and-Analytics
- Machine-Learning-Engineering
- Logistics-Analytics
- Business-Intelligence
- Senior-Data-Scientist-III
- Senior-Machine-Learning-Data-Scientist
- Senior-Staff-Data-Scientist
- Senior-Data-Science
- Data-Scientist
Наблюдалась 2026-10-14, впервые 2026-10-14, источник — Himalayas (JSON API).