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Entry-level ML role in a metro with a known employer and generalist requirements increases applicant competition.
Core data science and ML skills are broadly transferable across industries and sectors.
Entry-level explicit 0–1 year requirement and basic skill expectations make filters lenient.
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Develop, test, and implement statistical and machine learning models based on clear guidance and established workflows.
Execute well-defined analytical tasks including data cleaning, exploratory data analysis, feature engineering, and model validation to ensure accuracy and reliability.
Support advanced analytics activities including NLP and GenAI techniques, while closely collaborating with senior data scientists and documenting models and experiments.
Bachelor’s Degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
Work Experience Required: 0–1 year, fresh graduates encouraged to apply; academic or internship analytics/data science experience is a plus.
Basic proficiency in Python, R, or similar analytical programming languages.
This position is 100% in-office with minimal travel required.
Capable of executing structured, well-defined analytical tasks with a strong focus on accuracy and model validation.
Comfortable working under guidance from senior team members in a collaborative environment with emphasis on disciplined technical delivery.
Fundamental understanding of machine learning techniques and statistical principles with interest in advancing skills in NLP and GenAI analytics.