Senior Data Scientist Remote
- CAI
- 4 - 7 years
- Bengaluru
- 3 months ago
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Job Description
Were 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 lifecyclefrom data discovery through automated retraining and performance monitoring.
Key Responsibilities
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 Lifecycl
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.
Minimum Qualifications
- M.S. in Statistics (preferred) or related field such as Applied Mathematics, Computer Science, Data Science.
- 4+ 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: Cai Info IndiaLocation(s): Bengaluru
Keyskills: Data Science Machine Learning Deep Learning Python Artificial Intelligence
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