Data Science Manager

The Data Science Manager leads the end-to-end development of data-driven solutions, from translating business needs into data science projects, to building, deploying, and monitoring predictive models in production. This role ensures models deliver measurable business impact, maintains the reliability of machine learning pipelines, and collaborates closely with business, product, and engineering teams to integrate data science solutions into operational systems.

Requirements

• Lead data extraction, exploration, cleansing, and transformation of large and complex datasets
• Design, engineer, and validate features needed for predictive models and advanced analytics
• Build frameworks and data pipelines that combine telco datasets with digital, social, and external data sources to create a holistic customer view.
• Translate business problems into clear data science approaches and model requirements
• Build, test, and deploy machine learning and statistical models that address business needs
• Track performance, accuracy, drift, and business value of deployed models
• Conduct periodic model tuning and ensure continuous improvement aligned with ROI goals.
• Translate model outputs into clear insights, actionable recommendations, and campaign or operational strategies
• Identify new opportunities to apply data science, especially in customer behavior prediction, segmentation, and credit risk scoring.
• Partner with business teams to embed analytics solutions into decision-making and customer lifecycle programs.