Senior Machine Learning Scientist

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Requirements:

• Ph.D. or MS degree in a quantitative or computational field.
• 5+ years of full-time work experience leading the development and deployment of machine learning- and data-based solutions in production.
• Practical experience in supervised and unsupervised machine learning methods.
• Expertise in statistical analysis methods, including regression analysis and statistical inference.
• Proficiency in SQL and programming with Python.
• Ability to manage ambiguous problem spaces and drive projects with minimal oversight.
• Exceptional written and oral communication with technical and non-technical audiences.

Responsibilities:

• Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.
• Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation.
• Incorporate recent advances in AI/ML research into our core capabilities.
• Communicate your work and experience in applied machine learning through internal collaborations and mentorship.
• Contribute to the culture of data excellence by bringing best practices to our organization.