(Senior) Data Scientist

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.

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.

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