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Metro location and a common entry-level data scientist title increase applicant competition.
Core ML and data skills are highly transferable across industries.
Minimal explicit experience and basic skill requirements imply flexible screening criteria.
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Execute well-defined analytical and machine learning model development tasks under guidance from senior data scientists.
Perform data cleaning, transformation, exploratory data analysis, and model validation to ensure accuracy and reproducibility.
Support experimentation and application of advanced analytics techniques including NLP and GenAI under supervision.
Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
0–1 year experience; fresh graduates encouraged to apply.
Basic proficiency in Python, R, or similar analytical programming languages.
Role requires 100% in-office work; minimal travel required.
Comfortable executing analytics and modelling tasks within well-defined parameters and workflows.
Experience or academic background in statistical and machine learning techniques such as regression, classification, and clustering.
Able to work collaboratively with senior data scientists and follow coding standards and documentation practices.