Job Description & Responsibilities

Strong 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.- Robust 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.AdditionalSkills (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 (Tiruchirappalli)

Job Description & Responsibilities