Your responsibilities, Partnering with business stakeholders to understand challenges, define analytical problem statements, and translate them into structured data science solutions., Performing exploratory data analysis (EDA), statistical testing, and hypothesis validation to uncover actionable insights from large, complex datasets., Designing, building, and deploying predictive and prescriptive models, including forecasting, segmentation, churn, propensity, recommendation, uplift, and optimization models., Applying advanced statistical techniques such as regression analysis, Bayesian methods, causal inference, and experimental design (A/B testing) to support data-driven decision-making., Building and maintaining data marts and analytical data layers to support reusable, scalable analytics across the business., Developing automated ETL workflows and data pipelines using tools such as Alteryx, SQL, and Python to enable efficient data preparation and reporting., Translating analytical findings into clear, compelling narratives and visualizations for both technical and non-technical audiences using Tableau and Python visualization libraries., Defining KPIs, success metrics, and measurement frameworks for analytical initiatives in partnership with business stakeholders., Continuously monitoring model performance, retraining as needed, and ensuring models remain accurate, fair, and explainable in production., Staying current with emerging tools, techniques, and trends in data science, AI, machine learning, and Generative AI to continuously elevate team capabilities. What we offer, Hybrid Work model (3 days from the office), Private medical care in LuxMed Group, MyBenefit Cafeteria Platform (with Multisport card available), Group Life Insurance, Additional day off for your Birthday, Additional two days off per year for voluntary activities of your choice, Employee discount for high-quality Amway products, Annual Bonus depending on the yearly company and individual performance, Various portfolio of internal and external trainings: professional certifications, access to the e-learning platform, Possibility of growth within the organization, International team environment, Numerous company events and office initiatives, Family atmosphere with no formal dress code, Attractive office location in the heart of Krakow (High 5ive, Pawia street)

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Data Scientist