- Senior Data Scientist TimeSeries Forecasting MLOps Location Hybrid - Bangalore About the Role We re searching for an experienced Senior Data Scientist who excels at statistical analysis feature engineering and endtoend machinelearning operations Your primary mission will be to build and productionize demandforecasting models across thousands of SKUs while owning the full model lifecycle from data discovery through automated retraining and performance monitoring Key Responsibilities Scope What You ll Do Advanced ML Algorithms Design train and evaluate supervised unsupervised models regression classification clustering uplift Apply automated hyperparameter optimization Optuna HyperOpt and interpretability techniques SHAP LIME Data Analysis Feature Engineering Perform deep exploratory data analysis EDA to uncover patterns anomalies Engineer predictive features from structured semistructured and unstructured data manage feature stores Feast Ensure data quality through rigorous validation and automated checks TimeSeries Forecasting Demand Build hierarchical intermittent and multiseasonal forecasts for thousands of SKUs Implement traditional ARIMA ETS Prophet and deeplearning RNN LSTM TemporalFusion Transformer approaches Reconcile forecasts across product category hierarchies quantify accuracy MAPE WAPE and bias MLOps Model Lifecycle Establish model tracking registry MLflow SageMaker Model Registry Develop CI CD pipelines for automated retraining validation and deployment Airflow Kubeflow GitHub Actions Monitor data concept drift trigger retuning or rollback as needed Statistical Analysis Experimentation Design and analyze A B tests causal inference studies and Bayesian experiments Provide statisticallygrounded insights and recommendations to stakeholders Collaboration Leadership Translate business objectives into datadriven solutions present findings to exec nontech audiences Mentor junior data scientists review code notebooks and champion best practices Minimum Qualifications M S in Statistics preferred or related field such as Applied Mathematics Computer Science Data Science 5 years building and deploying ML models in production Expertlevel proficiency in Python Pandas NumPy SciPy scikitlearn SQL and Git Demonstrated success delivering largescale demandforecasting or timeseries solutions Handson experience with MLOps tools MLflow Kubeflow SageMaker Airflow for model tracking and automated retraining Solid grounding in statistical inference hypothesis testing and experimental design Preferred NicetoHave Experience in supplychain retail or manufacturing domains with highgranularity SKU data Familiarity with distributed data frameworks Spark Dask and cloud data warehouses BigQuery Snowflake Knowledge of deeplearning libraries PyTorch TensorFlow and probabilistic programming PyMC Stan Robust datavisualization skills Plotly Dash Tableau for storytelling and insight communication Job Type Full-time Pay Up to 1 200 000 00 per year Experience Expert in Python Pandas NumPy SciPy scikit learn 4 years Preferred MLOps tools MLflow Kubeflow SageMaker Airflow 4 years Preferred SQL and Git 3 years Preferred supply chain or manufacturing domains with SKU data 3 years Preferred Strong data visualization skills Plotly Dash Tableau 2 years Preferred Work Location In person

📌 Senior Data Scientist (time Series Forecasting & Mlops) (Karnataka)
🏢 mobiezy
📍 Karnataka