(Senior) Data Scientist at InPost

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

0.0

Posted On

16 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, Data Analysis, ML Ops, Cloud Solutions, Relational Databases, Code Testing, Geospatial Analysis, Optimisation Frameworks, Technical Reviews, Deep Learning, Production Models, Data Pipeline Frameworks, Mentoring, Communication

Industry

Logistics;Transportation;Supply Chain and Storage

Description

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

Responsibilities

The role involves leading the end-to-end delivery of complex data science projects and collaborating with product and business teams to develop actionable insights. You will also mentor other team members and ensure the seamless integration of data-driven initiatives.