(Senior) Data Scientist

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 47000 Automated Parcel Machines (APMs) and almost 35000 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