Analyst Data Science

Role Focus: Expected to display sharp problem-solving abilities and execute technical tasks at an extremely high standard of quality. You will be the foundational data worker supporting advanced model development.

Key Responsibilities

• High-Quality Execution: Conduct exhaustive Exploratory Data Analysis (EDA) on vast,

unstructured datasets to identify trends, missing values, and predictive signals.

• Problem Solving: Systematically tackle issues with data anomalies or shifts in distribution (data drift), alerting the team to potential impacts on live models.
• Modeling Support: Assist Senior Analysts and Managers in feature selection, data preparation pipelines, and executing baseline statistical models (Logistic Regression, Decision Trees).
• Monitoring & Validation: Execute standardized scripts to track post-production model performance metrics (Gini, KS, PSI) ensuring continuous model accuracy.

Candidate Requirements Category Requirements

Experience

1 to 3 years of quantitative experience involving data modeling, statistics, or risk analytics. Core Technical Stack Strong foundation in statistics, high proficiency in Python (specifically data manipulation and basic ML libraries) and SQL.

Competencies

Rigorous problem-solving aptitude, intellectual curiosity, and an unyielding commitment to data quality and precision.