Description
The role uses quantitative, analytical, mathematical, and technical skills to research, design, implement, and validate algorithms and statistical and predictive models for diverse data sources. It partners with domain experts, prepares and profiles data, develops machine learning and statistical models, communicates results to stakeholders, and contributes to team development. The position requires a relevant technical degree or equivalent experience, at least five years of data engineering or data science experience, proficiency with analytics platforms, and experience developing and deploying enterprise AI/ML solutions; preferred experience includes large-data processing, SQL, cloud platforms, big data tools, Agile development, machine learning validation, and CI/CD.
