
Senior Data Scientist – Personalisation
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Poland.
• Collaborate with Product and Business Teams to identify needs, convert them into data science solutions, and deliver actionable insights.
• Engage with InPost products, including InPost Mobile, Loyalty Programme, and InPost Pay.
• Create and implement machine learning models, GenAI products, hybrid methodologies, and data analytics to enhance marketing and product strategies, improve user experience, and refine targeting.
• Work alongside Data & AI and Technology teams to merge data-driven initiatives.
• Investigate innovative techniques and stay updated on Data Science and AI advancements.
• Present insights and recommendations to management, business teams, and the data community.
• Manage comprehensive data products: assess business needs, analyze challenges, propose hypotheses, develop solutions, share insights and results, and maintain solutions through business intelligence and model monitoring.
• Bachelor’s or Master’s degree in a relevant discipline, such as Data Science, Computer Science, Mathematics, or Econometrics.
• A minimum of 3 years of professional experience as a Data Scientist.
• Fluency in both Polish and English.
• Strong understanding of machine learning solutions, including clustering, recommender systems, regression, and classification.
• Practical experience with substantial datasets.
• Proficient in Python 3 and machine learning/data analysis libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, TensorFlow, or PyTorch.
• Experience in writing well-organized code utilizing functions, classes, and modules.
• Familiarity with PySpark, relational databases, and cloud platforms like Databricks, Azure, GCP, AWS, or Snowflake.
• Goal-oriented, self-sufficient, business-minded, and capable of managing change and time effectively.
• Ability to think strategically and break down business challenges.
• Nice to have: experience with CI/CD pipelines, Kedro or similar data pipeline frameworks, and bash/zsh CLI tools.
• Consulting and marketing analytics experience is a bonus.
• Employees have the option to work remotely.
• Opportunities for professional development.
• Chance to work with the latest technologies and methodologies.
• Cross-functional collaboration and knowledge sharing.
• B2B contract type.
Qualus
Netlify
Zest AI
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