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    Senior Data Scientist - Bengaluru, India - Dimiour

    Dimiour
    Dimiour Bengaluru, India

    1 day ago

    Default job background
    Description

    JOB DESCRIPTION :
    We are looking for individuals to support the development of our propriety in-house POS modeling solution called IRIS.

    Domain experience in one or more of the following areas would be helpful :

    • Advanced marketing measurement
    • Revenue growth management and optimization
    • Point-OfSale Modeling preferred

    Responsibilities :

    • Build ProofofConcept data science models: acquire, cleanse, and harmonize data, analyze, and identify appropriate algorithms, build models that are interpretable, explainable, and sustainable at scale and meets the business needs
    • Collaborate with Enterprise AI/ML teams and DTS Delivery teams to scale proven high value
    • ProofofConcept models where enterprise certified products are required

    Critical Technical Skills :

    • 8 to 10 years of experience with handson involvement in data science projects (experience in CPG/Retail, Digital Marketing, eCommerce, or Revenue Management preferred)
    • A bachelor's degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics)
    • An advanced degree in a quantitative field is preferred
    • Proficiency in SQL and one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA knowledge of optimization engines such as Gurobi is a plus)
    • Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)
    • Demonstrated experience in machine learning and mathematical optimization methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation, linear optimization, mixed integer programming etc.)
    • Specific experience in Bayesian regression, Hierarchical linear regression, clustering/segmentation, and unsupervised learning would be a preferred
    )
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