Job Description

We are seeking a skilled Data Science Engineer to design, build, and deploy production machine learning solutions for an enterprise Fleet Cascading & Optimization Platform managing 46,000+ vehicles across 545+ locations. In this role, you will develop and operationalize demand forecasting, cascading optimization, contract intelligence (NLP/Vision), and out-of-spec prediction models with a strong focus on explainability and business impact. You will own the end-to-end ML lifecycle — from experimentation and model development to scalable production deployment on AWS—working closely with engineering and business stakeholders to deliver reliable, data-driven outcomes.

Must-Have Requirements

  • Programming & ML Frameworks: Python;

    PyTorch or TensorFlow;
    scikit-learn;
    XGBoost or LightGBM;
    pandas;

    NumPy
  • Time Series & Forecasting: BSTS;

    Prophet;
    Temporal Fusion Transformer (TFT);

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