Job Description• Strong 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• Robust 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.
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nAdditional 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 (Chennai)
🏢 MSC Technology India
📍 Chennai