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Job Description
Structured overview of role & requirementsAbout This Role
Develop, test, and implement statistical and machine learning models based on guidance from senior data scientists.
Execute well-defined analytical tasks including data cleaning, transformation, exploratory data analysis, and model validation ensuring high accuracy and reproducibility.
Support advanced analytics activities including NLP/LLM techniques, experimentation, and documentation within a collaborative team setting.
Minimum Requirements
Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
0–1 year work experience; fresh graduates encouraged to apply.
Basic proficiency in Python, R, or similar analytical programming languages.
This is a 100% in-office role; minimal travel required.
Ideal Candidate Profile
Comfortable working on clearly defined tasks under close guidance, focusing on accuracy and reproducibility.
Foundational understanding of statistics and machine learning with a structured problem-solving approach.
Experience or exposure to data science workflows, including model evaluation and data preparation, ideally through internships or academic projects.
