Company Description

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. 

The Data & AI department is seeking a talented and passionate (Senior) Data Scientist to join our Network Domain team. The role involves leading the end-to-end delivery of complex data science projects, driving technical excellence and actively mentoring other team members.

Job Description

On a daily basis you will:

• Partner with our product and business teams to understand their needs and translate them into data science solutions and actionable insights.

• Lead the full lifecycle of data science initiatives and advise on solution design.

• Develop and implement advanced data science solutions (including ML models, AI products and optimisation frameworks).

• Collaborate closely with cross-functional teams to ensure the seamless integration of data-driven initiatives.

• Stay ahead of the curve by exploring cutting-edge methods and keeping up to date with new trends in data science and AI.

• Communicate insights and recommendations to management, business teams and other members of the data community.

Qualifications

Must have:

• Minimum of 3 years experience as a Data Scientist applying data science methods at scale.

• Excellent knowledge of ML solutions and their impact on business, user experience and operational processes (supervised and unsupervised learning, e.g.: clustering, regression, classification, time series, geospatial analysis, etc.)

• Proficiency in Python and ML/data analysis libraries (Pandas, Polars, PySpark, Scikit-learn), gradient boosting and deep learning frameworks.

• Experience in building models used in production by a large number of users and hands-on experience with large data sets.

• Experience and knowledge of relational databases and cloud solutions (e.g. Databricks, Azure, GCP, AWS, Snowflake).

• Experience in writing well-structured code, including functions, classes and modules.

• Proficiency in code testing and best practices for writing readable code, conducting technical reviews, and ensuring maintainability.

• Knowledge of ML Ops and experience with data pipeline frameworks such as Kedro.

• Very good command of English, both spoken and written (B2+ level).

Nice to have:

• Specialised knowledge in one or more of the following areas: logistics, geospatial data science and graph methods.

• Higher education in computer science, statistics, mathematics, physics, econometrics or a related field.

• Strong technical and/or research background.

Additional Information

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 employees an increasing number of opportunities in several locations in Europe. 

• Fulfilling careers with a range of benefits for employees and investing in providing training opportunities for their 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