Senior Data Scientist

Jio Platforms Limited; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Jio Platforms Limited in Bengaluru is seeking an experienced ML Engineer to design, develop and deploy advanced ML models for supply chain demand forecasting, inventory optimisation, and operational efficiency. You will build scalable pipelines and collaborate with cross-functional teams to integrate models into production.

The role requires 3+ years of ML/Data Science experience, strong Python skills and expertise in time-series forecasting, MLOps, and deployment of models.

Qualifications

• 3+ years of industry experience with a Bachelor's degree or 2+ years with a Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• 2+ years of hands‑on experience in Machine Learning / Data Science.
• Experience in Supply Chain Forecasting, Time‑Series Modelling, or Operations Optimisation.
• Strong proficiency in Python and ML libraries such as Scikit-learn, PyTorch, TensorFlow, or Keras.
• Experience deploying ML models into production.
• Strong understanding of statistical modelling, ML algorithms, and scalable systems.

Responsibilities

• Design, develop, and deploy advanced ML models for supply chain demand forecasting, inventory optimisation, and operational efficiency.
• Develop predictive models and optimisation algorithms using Python and ML frameworks.
• Build scalable, production-ready ML pipelines with automated testing and deployment.
• Collaborate with Data Platform, Product, and Engineering teams for model integration.
• Perform feature engineering, model training, performance tuning, and monitoring.
• Maintain code quality and stay updated with advancements in ML and Deep Learning.

Skills

Python

Machine Learning

Supply Chain Forecasting

Time-Series Forecasting

Operations Optimisation

PySpark

Deep Learning

Statistical Modelling

SQL

MLOps

Education

Bachelor's degree in CS/Math/Stats

Master's degree in CS/Math/Stats

Tools

Scikit-learn

PyTorch

TensorFlow

Keras

Spark

PySpark

SQL

MLflow

Airflow

Kubeflow

Gurobi

OR-Tools

Pyomo

Job description

Responsibilities:

• Design, develop, and deploy advanced ML models for supply chain demand forecasting, inventory optimisation, and operational efficiency.
• Develop predictive models and optimisation algorithms using Python and ML frameworks.
• Build scalable, production-ready ML pipelines with automated testing and deployment.
• Collaborate with Data Platform, Product, and Engineering teams for model integration.
• Perform feature engineering, model training, performance tuning, and monitoring.
• Maintain code quality and stay updated with advancements in ML and Deep Learning.

Requirements:

• 3+ years of industry experience with a Bachelor's degree or 2+ years with a Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• 2+ years of hands‑on experience in Machine Learning / Data Science.
• Experience in Supply Chain Forecasting, Time‑Series Modelling, or Operations Optimisation.
• Strong proficiency in Python and ML libraries such as Scikit-learn, PyTorch, TensorFlow, or Keras.
• Experience deploying ML models into production.
• Strong understanding of statistical modelling, ML algorithms, and scalable systems.

Nice to Have:

• Experience with demand forecasting, inventory optimisation, or logistics analytics.
• Knowledge of Spark, PySpark, SQL, and distributed computing.
• Experience with cloud platforms (AWS, GCP, Azure).
• Familiarity with MLOps tools such as MLflow, Airflow, or Kubeflow.
• Experience with optimisation tools such as Gurobi, OR-Tools, or Pyomo.
• Required Skills: Python, Machine Learning, Supply Chain Forecasting, Time‑Series Forecasting, Operations Optimisation, PySpark, Deep Learning, Statistical Modelling, SQL, MLOps.