Data Scientist / Data Analyst (CL11) - Please apply on Careers Marketplace

As a Data Scientist with a strong data analytics focus, you will sit at the intersection of data, technology, and business strategy. You will play a critical role in transforming large, complex datasets into meaningful insights that directly influence operational, commercial, and strategic decision-making across the organization. Key Responsibilities Lead the analysis of structured and unstructured datasets to uncover trends, patterns, risks, and opportunities that support data-driven business decisions. Develop, maintain, and optimize dashboards, reports, and visualizations using modern BI and analytics tools to communicate insights clearly to both technical and non-technical stakeholders. Design, build, test, and deploy predictive and machine learning models that improve forecasting accuracy, operational efficiency, customer experience, and business performance. Perform advanced statistical analysis and exploratory data analysis (EDA) to identify actionable recommendations and support strategic initiatives. Partner closely with business stakeholders, product teams, engineers, and leadership groups to translate business requirements into scalable analytical solutions. Own the full analytics and data science lifecycle, including data extraction, cleansing, transformation, feature engineering, validation, model evaluation, deployment, and ongoing performance monitoring. Develop automated reporting and analytics workflows to improve efficiency, reduce manual effort, and increase data accessibility across teams. Work with large-scale data environments and cloud-based platforms to ensure analytical solutions are scalable, secure, and production-ready. Present findings, trends, and recommendations through compelling storytelling, data visualization, and executive-ready insights. Continuously evaluate emerging technologies, statistical techniques, and AI/ML methodologies to drive innovation and improve analytical capabilities.