FIND_THE_RIGHTJOB.
Sr Data Scientist
Pune, India
Key Responsibilities
- End-to-End Product Ownership: Lead the development of predictive models from exploration and prototype to full-scale production deployment.
- Prediction: Build robust regression and/or time-series and/or deep learning models to predict prices/values of financial assets, oil, apparel, and other commodities.
- Model Optimization: Continuously monitor and fine-tune models for accuracy, performance, and scalability using real-time data feedback.
- ML Ops & Deployment: Collaborate with engineering to ensure successful deployment and monitoring of models in production environments.
- Stakeholder Collaboration: Translate business problems into analytical frameworks, working closely with product, strategy, and business teams.
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Data Strategy: Define and manage pipelines and feature stores using structured and unstructured data sources.
- 8+ years of experience in data science, with a strong background in predictive analytics and machine learning.
- Proven experience building and scaling ML models in production environments (not just notebooks or PoCs).
- Deep expertise in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, LightGBM, TensorFlow/PyTorch).
- Strong knowledge of regression techniques, time-series forecasting, and feature engineering.
- Experience in domains such as finance, commodities, retail pricing, or demand prediction is highly preferred.
- Experience working with cloud platforms (Azure, AWS or GCP), Azure ML or Sagemaker, tools like Airflow, Docker, and MLflow.
- Ability to define success metrics, conduct A/B tests, and iterate based on measurable KPIs.
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Excellent communication and storytelling skills with both technical and non-technical stakeholders.
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