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ZestIoT
Data ScientistZestIoT • Hyderabad, Hyderābād, IN
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Data Scientist

Data Scientist

ZestIoT • Hyderabad, Hyderābād, IN
7 days ago
Job description
  • Role Overview This role focuses on building predictive models for POBT (Predicted Off-Block Time) and ARDT (Actual Ready Time), as well as designing LSTM-based time-series models to forecast critical aviation events. The ideal candidate will combine strong technical expertise with domain awareness to deliver actionable insights that drive operational excellence. Key Responsibilities : - Develop and deploy ML models for POBT and ARDT prediction. - Design and optimize LSTM models for time-series forecasting in aviation operations. - Collect, preprocess, and validate aviation datasets including flight schedules, ground operations, and sensor data. - Collaborate with engineering and operations teams to integrate models into production pipelines. - Monitor model performance and retrain with updated data to ensure accuracy and robustness. - Communicate insights through dashboards, reports, and stakeholder presentations. - Document model design, data pipelines, and evaluation results for reproducibility. Qualifications & Requirements Education : - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience - 2.5+ years of hands-on experience in data science with a proven track record in predictive modeling, machine learning, and time-series forecasting. Technical Skills : - Strong proficiency in Python and core ML libraries : NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch. - Solid understanding of supervised learning algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forests, and Support Vector Machines (SVM). - Hands-on experience with time-series modeling and LSTM architectures. - Proficiency in SQL and experience with data pipeline frameworks. - Familiarity with cloud platforms, preferably AWS. - Strong analytical thinking and ability to communicate technical findings to non-technical stakeholders. Preferred / Nice-to-Have Skills - Experience with aviation datasets and operational metrics. - Knowledge of MLOps practices for scalable model deployment and monitoring. - Exposure to big data tools such as Apache Spark or Hadoop. - Experience with experiment tracking tools (e.G., MLflow, Weights & Biases).
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Data Scientist • Hyderabad, Hyderābād, IN

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