**Data Scientist** **Experience & Qualifications** - **Professional Experience:** 4–5 years of proven experience in Data Science roles. - **Client Communication:** Collaborate directly with client teams, present complex technical findings using intuitive visuals especially for non-technical senior stakeholders, and proactively propose innovative ideas for process and model improvement. **Technical Requirements & Responsibilities** - **Predictive Modeling:** Build and deploy traditional Machine Learning (ML) solutions to help solve business problems. - **Modeling Best Practices:** Implement model explainability, rigorous experimentation, prompt engineering, feature engineering, cross-validation, hyperparameter tuning, bias detection, and robust MLOps deployment workflows. - **Operational Excellence:** Maintain comprehensive technical documentation, track historical requirements and design changes, enforce strict model versioning (data/code/weights), and implement reproducible research standards. - **Data Preparation:** Perform exploratory data analysis (EDA) and data wrangling on complex datasets. - **Production Integration:** Collaborate with engineering teams to integrate models into live systems. - *(Preferred)* **Statistical Analysis:** Apply fundamental statistics to validate models and run experiments.