PibyThree - Senior Data Scientist - Predictive Analytics & Machine Learning

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.