Senior Analyst

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.

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.