Experience in leveraging CI/CD pipelines in data-based products
Experience with data pipelines framework, preferably Kedro
Experience with CLI tools: bash/zsh
Additional Information
Why join Us?
Impact: Your work will directly influence strategic decisions and operational efficiencies across multiple international markets
Innovation: Be part of the team that's pushing boundaries of data analytics, working with the latest technologies and methodologies
Growth: This role offers unparalleled opportunities for professional development in a data-driven, technology-forward environment
Collaboration: Engage with cross-functional teams, share knowledge and best practices, fostering a culture of continuous learning and improvement
Education – Bachelor’s or Master’s degree in a relevant field, e.g. Data Science, Computer Science, Mathematics, Econometrics
Experience – you have at least 3 years of commercial experience as a Data Scientist. Consulting and marketing analytics experience are a plus
Mindset – you are goal-oriented and independent, skilled in change and time management, business-conscious, able to think long-term and decompose business problems
Languages – you are proficient in Polish and English (other languages knowledge is a plus)
Excellent knowledge of ML solutions and their impact on business and user experience (clustering, recommender systems, regression, classification, etc.)
Hands-on experience with working with large amounts of data
Proficiency in Python 3, as well as ML and data analysis libraries (e.g. Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, TF/Pytorch, etc.)
Experience in writing well-structured code: functions, classes, modules
Knowledge and experience in PySpark, relational databases, cloud solutions (e.g. Databricks, Azure, GCP, AWS, Snowflake)