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Mid-level popular data science role, metro Chennai, broad ML and CDP skillset increases applicant density.
Core ML and data skills transferable, but CDP and Dynamics experience adds moderate industry specificity.
Explicit 5+ years requirement plus mandatory CDP, Python, and SQL skills.
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Lead design and validation of data-driven models for customer data applications including anomaly detection, matching optimization, and scoring.
Perform customer data modeling tasks such as identity resolution, deduplication, segmentation, and data quality analysis.
Collaborate with cross-functional teams (product, data, engineering) to leverage customer insights and analytical processing using tools like Dynamics 365 Customer Insights and Microsoft Fabric.
5+ years of relevant experience in data science or customer data platforms.
Proficiency in Python for data exploration, transformation, model prototyping, and analytical validation.
Strong SQL skills for data investigation, profiling, and validation.
Experience with Dynamics 365 Customer Insights or similar Customer Data Platforms required.
Experienced in customer data modeling focusing on identity resolution and segmentation within CDP environments.
Skilled at working with Microsoft ecosystem technologies, including Fabric, Synapse, and Dataverse, to support analytics.
Demonstrates ability to design statistically sound machine learning models and validate them in collaborative, cross-functional settings.