Data Scientist

About Our Client PartnerOur client is a leading and rapidly evolving force in the Fast-Moving Consumer Goods (FMCG) sector in Sri Lanka. They own some of the nation's most trusted and beloved consumer brands across multiple categories. Committed to leveraging technology and data, the organization is building a sophisticated data science capability to drive market share, optimize operations, and personalize consumer engagement.Role SummaryWe are seeking a proactive and technically proficient Data Scientist to join the digital and analytics team. This role is crucial for transforming vast amounts of consumer, sales, and supply chain data into actionable predictive insights and tangible business strategies. You will be responsible for building and deploying end-to-end machine learning models that directly impact commercial and operational efficiency.Key Responsibilities Predictive Modeling & Solution DevelopmentDesign, build, and deploy machine learning models across various business functions, including demand forecasting, pricing optimization, customer segmentation, and supply chain efficiency.Utilize advanced statistical methods and algorithms (e.g., time-series analysis, clustering, regression) to answer complex commercial questions and identify hidden market opportunities.Develop and productionize data pipelines and models, ensuring they are scalable, reliable, and integrated into existing business systems. Data Analysis & InsightsCollaborate with Marketing, Sales, and Operations teams to translate complex business problems into clear, measurable data science hypotheses.Perform rigorous Exploratory Data Analysis (EDA) on structured and unstructured datasets to uncover trends, anomalies, and root causes of performance variations.Clearly communicate technical findings and model results to non-technical stakeholders through compelling visualizations and narrative reporting. Technology & GovernanceWork with the Data Engineering team to ensure data quality, accessibility, and governance standards are met for all analytical projects.Stay current with industry best practices, new modeling techniques, and emerging tools in the cloud data ecosystem (e.g., Azure, AWS, GCP).Document model methodology, data sources, and deployment processes to ensure transparency and reproducibility.RequirementsEducation: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.Experience: Proven experience (2-5 years) as a Data Scientist or in a similar analytics role, with a focus on building and deploying production-ready ML models.Technical Proficiency:Expert-level skills in Python (including libraries like pandas, NumPy, scikit-learn, TensorFlow/PyTorch) or R.High proficiency in SQL for querying and manipulating large datasets.Experience with Cloud platforms (Azure, AWS, or GCP) for running analytical workloads.Domain Knowledge (Advantage): Direct experience working with FMCG sales data, retail analytics, or supply chain/demand forecasting is a significant advantage.Soft Skills: Strong problem-solving capabilities, intellectual curiosity, and exceptional presentation skills to articulate complex data insights to business leaders.