InPost

(Senior) Data Scientist - Operations (m/f/n)

Brak informacji o wynagrodzeniu

SeniorZdalnie·KrakówFull-time

#414064·Dodano dwa miesiące temu·5

Źródło: InPost

Aplikuj teraz

Tech Stack / Keywords

Data SciencePythonNetworkPySparkCloudDatabricks GCP AWS

Firma i stanowisko

InPost is a leading e-commerce parcel delivery platform in Europe operating almost 47,000 Automated Parcel Machines (APMs) and 35,000 pick-up drop-off points (PUDO) across nine countries. The company provides delivery, courier, and fulfilment services with a focus on convenient, environmentally friendly, and contactless options. The role is within the Operations Data Science Team, tackling complex logistics problems impacting millions of parcel deliveries daily. The tech stack includes Python (Pandas, NumPy, Scikit-learn, PyTorch / TensorFlow), PySpark, distributed processing, cloud platforms (Azure, GCP, AWS), Databricks, and SQL/data warehouses.

Wymagania

Approximately 3+ years in Data Science / Machine Learning roles
Strong Python skills and experience with data and ML libraries
Experience working with large-scale datasets
Solid understanding of ML methods including regression, clustering, and forecasting
Ability to translate business problems into data solutions

Nice to have:

Experience with optimization problems such as routing, scheduling, and operations research
Knowledge of graph-based approaches or network problems
Experience building models used in production at scale
Experience with PySpark, cloud platforms (Databricks, GCP, AWS, Snowflake)
Experience with ML Ops and CI/CD pipelines
Familiarity with optimization techniques like linear programming and heuristics
Familiarity with Kedro or similar frameworks

Obowiązki

Design routing and allocation algorithms for parcel delivery
Solve large-scale optimization problems involving vehicles, routes, constraints, and costs
Apply graph-based methods, clustering, regression, and forecasting
Build models that directly impact delivery speed, cost efficiency, and customer experience
Ship solutions into production, not just experiments

Benefity

Opportunity to work in a diverse, international, cross-functional environment with leading experts
Exposure to senior leadership and experience in e-commerce and logistics industries
Growing company with multiple opportunities across Europe
Range of benefits and training opportunities
Flexible working hours and excellent working environment
Contract type is B2B

Elastyczne godziny

Dofinansowanie szkoleń

InPost

68 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz