Machine Learning Data Science Expert

What You'll Do6

• Build, train and evaluate machine learning models that answer a defined business question.
• Design predictive models with supervised and unsupervised learning methods.
• Improve model results through hyperparameter tuning and feature engineering.
• Record methodologies, model assumptions and technical approaches so the reasoning survives handoff.
• Carry a task from initial scoping through final results with little supervision.
• Work through unfamiliar datasets and pick the modeling approach that fits them.

Requirements5

• 1 to 3 years of professional experience in data science, machine learning or a closely related field.
• Master's degree in computer science, statistics, mathematics, data science or another quantitative discipline.
• At least one first-author publication, or work of comparable first-author weight.
• Record of solving technical problems without close supervision.
• Preferred: experience as a teaching assistant for machine learning, data science or applied statistics courses built around programming and empirical analysis.

Who Should Apply

Early-career data scientists and ML practitioners who hold a master's in a quantitative field and can point to at least one first-author paper. The work suits someone who takes a modeling task, runs it alone, and documents why each choice was made.

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