Lead Data Scientist

• Strong knowledge of statistics, machine learning fundamentals, similarity matching, classification, clustering, and model evaluation. • Hands-on experience in customer data modelling, identity resolution, deduplication, segmentation, and data quality analysis. • Proficient in Python for data exploration, transformation, model prototyping, and analytical validation. • Strong SQL skills for data investigation, profiling, and validation. • Familiarity with Microsoft Fabric, notebooks, and lakehouse concepts for analytical processing. • Ability to design and validate data-driven models for anomaly detection, matching optimization, and scoring. • Experience working with cross-functional teams including product, data, and engineering teams. Additional Skills (Added Advantage) • Experience with Dataverse, Dynamics 365 Sales / Customer Service / CI Journeys /similar Customer Data Platforms. • Exposure to Azure ecosystem (Fabric, Synapse, ADLS, Power BI). • Knowledge of feature engineering, experimentation, and model performance tuning. • Understanding of data governance, privacy, and responsible • Experience with customer segmentation analytics, propensity modeling, or scoring techniques.