Senior Data Scientist

15 hours ago

Pune, Maharashtra, India PibyThree Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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.
  • Data Strategy : Define and manage pipelines and feature stores using structured and unstructured data sources.

Required Qualifications

  • 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.
  • Excellent communication and storytelling skills with both technical and non-technical stakeholders.

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