Job Summary
Key Responsibilities
- Data collection, cleaning, and preprocessing
- Exploratory Data Analysis (EDA) to identify trends, anomalies, and patterns
- Build and evaluate statistical and ML models
- Feature engineering and model validation
- Visualize results and present insights to stakeholders
- Translate business problems into analytical problems
- Document assumptions, limitations, and recommendations
- Support AI Engineers during model handover to production
Minimum Skill Expectations
- Strong Python (Pandas, NumPy) and SQL
- Applied statistics and hypothesis testing
- ML fundamentals (regression, classification, clustering)
- Data visualization (matplotlib/seaborn/Power BI/Tableau)
- Business communication and storytelling
- Responsible data usage awareness
Key Responsibilities
Key Responsibilities
- Data collection, cleaning, and preprocessing
- Exploratory Data Analysis (EDA) to identify trends, anomalies, and patterns
- Build and evaluate statistical and ML models
- Feature engineering and model validation
- Visualize results and present insights to stakeholders
- Translate business problems into analytical problems
- Document assumptions, limitations, and recommendations
- Support AI Engineers during model handover to production
Skill Requirements
- Strong Python (Pandas, NumPy) and SQL
- Applied statistics and hypothesis testing
- ML fundamentals (regression, classification, clustering)
- Data visualization (matplotlib/seaborn/Power BI/Tableau)
- Business communication and storytelling
- Responsible data usage awareness
Other Requirements
1.Relevant certifications in sql, data analysis, or python are a plus.