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Job Description
Structured overview of role & requirementsAbout This Role
Develop, test, and implement statistical and machine learning models under senior guidance for use cases across the Enterprise Data & Analytics team.
Execute clearly defined analytical tasks including data cleaning, feature engineering, exploratory data analysis, and model validation ensuring accuracy and reproducibility.
Support experimentation with advanced techniques including NLP and LLM-based methods while adhering to coding standards and documentation processes.
Minimum Requirements
Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
0–1 year of work experience; fresh graduates encouraged to apply; internship or academic experience in analytics/data science is a plus.
Basic proficiency in Python, R, or similar analytical programming languages.
Position requires 100% in-office work; minimal travel required.
Ideal Candidate Profile
Capable of executing well-defined analytical and modeling tasks under guidance within a structured environment.
Familiar with common statistical and machine learning techniques like regression, classification, clustering, and forecasting.
Comfortable working closely with senior data scientists and engineers, following established workflows and maintaining high accuracy and documentation standards.