Functiebeschrijving
Finance
Business Support
Senior Data Scientist
Senior
Den Haag
Als Senior Data Scientist bij MN vertaal je businessvragen naar datagedreven oplossingen, analyseer en bewerk je data, ontwikkel je Python analytics-applicaties en AWS-infrastructuur, coach je het team en presenteer je resultaten aan stakeholders.
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Senior Data Scientist
Role purpose: Lead the design, development, and deployment of data science solutions that drive measurable business outcomes through advanced analytics, machine learning, and experimentation. Core Responsibilities - Develop and deploy predictive and prescriptive models (e.g., classification, regression, forecasting, recommendation). - Translate business problems into analytical frameworks, success metrics, and scalable model approaches. - Design and analyze A/B tests and causal inference studies; communicate results and impact. - Build robust data pipelines and feature engineering workflows in partnership with data engineering. - Perform data exploration, statistical analysis, and model validation; ensure reproducibility and quality. - Create clear narratives and visualizations to inform product, operations, and leadership decisions. - Mentor junior scientists and contribute to best practices, documentation, and model governance. Required Skills - Machine learning: supervised/unsupervised learning, model evaluation, bias/variance, interpretability. - Statistics: hypothesis testing, experimental design, causal methods, time series fundamentals. - Programming: Python or R; production-grade coding practices and version control. - Data: SQL, data modeling concepts, working with large datasets and distributed systems. - Tools: common ML libraries (e.g., scikit-learn, XGBoost, PyTorch/TensorFlow) and visualization. - Communication: stakeholder management, requirements gathering, and executive-ready reporting. Success Measures - Deploy...