Senior Data Scientist – Applied Machine Learning

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Описание

Translate customer and business problems into clear analytical and machine-learning objectives. Work with large datasets, event data and feature stores to identify useful signals and build predictive features. Develop, evaluate and improve models for use cases such as propensity, personalisation, growth and retention. Apply appropriate techniques across classification, regression, experimentation, forecasting and other applied data-science problems. Take models through the full product lifecycle, including deployment, automation, monitoring, retraining and ongoing maintenance. Help improve data quality, feature pipelines, model monitoring, drift detection and ML Ops practices. Work with product managers and business stakeholders to define success measures and translate model outputs into action. Explain technical approaches, assumptions and results clearly to technical and non-technical audiences. Collaborate with data, software and AI engineering teams to review solutions, improve coding standards and share knowledge. Contribute to technical documentation, design discussions and delivery planning. Work with external partners or vendors where required to deliver the right solution. Требования: Commercial experience as a Data Scientist, Applied Scientist, Machine Learning Engineer or in a closely related role. Strong Python skills and experience writing maintainable, tested and production-quality code. Strong foundations in probability, statistics, model evaluation and machin

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