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Solid knowledge of statistics, machine learning fundamentals, similarity matching, classification, clustering, and model evaluation.

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Hands-on experience in customer data modelling, identity resolution, deduplication, segmentation, and data quality analysis.

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Proficient in Python for data exploration, transformation, model prototyping, and analytical validation.

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Solid SQL skills for data investigation, profiling, and validation.

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Familiarity with Microsoft Fabric, notebooks, and lakehouse concepts for analytical processing.

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Ability to design and validate data-driven models for anomaly detection, matching optimization, and scoring.

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Experience working with cross-functional teams including product, data,



and engineering teams.

/n /n Additional Skills (Added Advantage) /n /n
Experience with Dataverse, Dynamics 365 Sales / Customer Service / CI Journeys /similar Customer Data Platforms.

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Exposure to Azure ecosystem (Fabric, Synapse, ADLS, Power BI).

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Knowledge of feature engineering, experimentation, and model performance tuning.

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Understanding of data governance, privacy, and responsible

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Experience with customer segmentation analytics, propensity modeling, or scoring techniques.

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📌 Lead Data Scientist Tiruchirappalli
🏢 MSC Technology India
📍 Tiruchirappalli