Back
Metro role, popular entry-level data scientist title, and broad skills required increase qualified applicant density.
Core data science skills are transferable across industries; HR domain expertise isn't required.
Minimal experience requirement (0–1 year) and foundational technical skills only, so filtering is light.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
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.
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.
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.