Python Data Scientist

Job highlights

• Strong hands-on Python coding and Machine Learning experience.
• Experience with MLflow,cloud platforms,and MLOps is an added advantage
• Experience in statistical modeling,predictive analytics,time-series and demand forecasting.

Key Skills & Responsibilities

• Strong hands-on Python coding and Machine Learning experience.
• Expertise in Pandas, NumPy, Scikit-learn, Statsmodels, XGBoost/LightGBM, and PyTorch/TensorFlow.
• Experience in statistical modeling, predictive analytics, time-series and demand forecasting.
• Knowledge of supply chain analytics, inventory optimization, and mathematical optimization tools such as Pyomo, PuLP, or OR-Tools.
• Ability to build end-to-end ML pipelines, deploy models, and solve real-world business problems.
• Experience with MLflow, cloud platforms, and MLOps is an added advantage.

Candidate Requirements

• Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Strong Python programming and practical ML model development skills.

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