Job Description & Responsibilities

Robust 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.

Lead Data Scientist (Ambattur)

Job Description & Responsibilities