Medior Data Scientist

Develop, evaluate, and deploy data-driven solutions that improve decision-making and business performance. Translate complex data into actionable insights and collaborate with stakeholders to deliver measurable outcomes. - Analyze structured and unstructured data to identify trends, patterns, and opportunities. - Build, validate, and maintain predictive and descriptive models using appropriate statistical and machine learning methods. - Design experiments (e.g., A/B tests) and measure impact with clear success metrics. - Prepare, clean, and transform datasets; ensure data quality and reproducibility. - Create dashboards, reports, and narratives that communicate findings to technical and non-technical audiences. - Collaborate with data engineers and software teams to operationalize models and monitor performance. - Document methodologies, assumptions, and model limitations to support governance and auditability. - Data science: statistical analysis, feature engineering, model

selection, evaluation, and interpretability. - Programming: Python and/or R; experience with notebooks and production-grade code practices. - ML tooling: scikit-learn or similar; familiarity with MLOps concepts (versioning, monitoring, CI/CD) is a plus. - Data: SQL; experience with data warehouses/lakes and ETL/ELT concepts. - Communication: stakeholder management, clear storytelling, and ability to explain trade-offs. - Experience with cloud platforms and scalable data processing. - Domain knowledge relevant to the business context. Data Scientist Anti-Financial Crime Als Da…