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    job details

    Qualifications

    • 5+ years of experience in developing machine learning models for products.
    • In-depth knowledge of Python and SQL.
    • Knowledge of common data science Python libraries like NumPy, Pandas, PyTorch, and TensorFlow.
    • Deep understanding of supervised and unsupervised machine learning techniques, • Hands-on experience with neural networks, particularly for time series and recommender systems, preferred.
    • Experience building recommendation engine models for eCommerce business • Knowledge of the full data mining steps from data preparation, modeling, visualization, and interpretation.
    • Experience in integrating business analysis with technical solutions that involve advanced analytics solutions, demand forecasting, segmentation, churn prediction, predictive maintenance, and route optimization, etc.
    • Ability to work with key business stakeholders throughout the organization to identify opportunities for leveraging our data to drive business solutions by using advanced analytical methods.
    • Master's degree/Ph.D. in a highly quantitative field (statistics, computer science, etc.)

    Qualifications

    • 5+ years of experience in developing machine learning models for products.
    • In-depth knowledge of Python and SQL.
    • Knowledge of common data science Python libraries like NumPy, Pandas, PyTorch, and TensorFlow.
    • Deep understanding of supervised and unsupervised machine learning techniques, • Hands-on experience with neural networks, particularly for time series and recommender systems, preferred.
    • Experience building recommendation engine models for eCommerce business • Knowledge of the full data mining steps from data preparation, modeling, visualization, and interpretation.
    • Experience in integrating business analysis with technical solutions that involve advanced analytics solutions, demand forecasting, segmentation, churn prediction, predictive maintenance, and route optimization, etc.
    • Ability to work with key business stakeholders throughout the organization to identify opportunities for leveraging our data to drive business solutions by using advanced analytical methods.
    • Master's degree/Ph.D. in a highly quantitative field (statistics, computer science, etc.)