• Robust knowledge of statistics, machine learning fundamentals, similarity matching, classification, clustering, and model evaluation. /n • Hands-on experience in customer data modelling, identity resolution, deduplication, segmentation, and data quality analysis. /n • Proficient in Python for data exploration, transformation, model prototyping, and analytical validation. /n • Strong SQL skills for data investigation, profiling, and validation. /n • Familiarity with Microsoft Fabric, notebooks, and lakehouse concepts for analytical processing. /n • Ability to design and validate data-driven models for anomaly detection, matching optimization, and scoring. /n • Experience working with cross-functional teams including product, data,



and engineering teams. /n /n Additional Skills (Added Advantage) /n • Experience with Dataverse, Dynamics 365 Sales / Customer Service / CI Journeys /similar Customer Data Platforms. /n • Exposure to Azure ecosystem (Fabric, Synapse, ADLS, Power BI). /n • Knowledge of feature engineering, experimentation, and model performance tuning. /n • Understanding of data governance, privacy, and responsible /n • Experience with customer segmentation analytics, propensity modeling, or scoring techniques.

📌 Lead Data Scientist (Salem)
🏢 MSC Technology India
📍 Salem