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

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 a 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 role is within the Personalization Hub, focusing on leveraging advanced analytical techniques and machine learning models to extract actionable insights from complex data sets, driving strategic decision-making and operational excellence.

• Bachelor’s or Master’s degree in a relevant field such as Data Science, Computer Science, Mathematics, or Econometrics.
• At least 3 years of commercial experience as a Data Scientist; consulting and marketing analytics experience is a plus.
• Goal-oriented and independent mindset with skills in change and time management, business consciousness, long-term thinking, and business problem decomposition.
• Proficiency in Polish and English; knowledge of other languages is a plus.
• Excellent knowledge of ML solutions and their impact on business and user experience (clustering, recommender systems, regression, classification).
• Hands-on experience working with large amounts of data.
• Proficiency in Python 3 and ML/data analysis libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, TensorFlow, PyTorch.
• Experience writing well-structured code including functions, classes, and modules.
• Knowledge and experience with PySpark, relational databases, and cloud solutions (e.g., Databricks, Azure, GCP, AWS, Snowflake).

Nice to have:

• Experience leveraging CI/CD pipelines in data-based products.
• Experience with data pipeline frameworks, preferably Kedro.
• Experience with CLI tools such as bash or zsh.

• Partner with Product and Business Teams to understand needs and translate them into data science solutions, providing actionable insights across all business products such as InPost Mobile, Loyalty Programme, and InPost Pay.
• Develop and implement data science solutions including ML models, GenAI products, hybrid approaches, and data analytics to optimize marketing and product strategies.
• Collaborate closely with cross-functional teams including Data & AI and Technology teams to ensure seamless integration of data-driven initiatives.
• Explore cutting-edge methods and stay updated on new trends in Data Science and AI.
• Communicate insights and recommendations to management, business teams, and data community members.
• Conduct end-to-end data product development: understanding business needs, analyzing problems, proposing solutions, presenting insights, and maintaining solutions including model monitoring.