Work closely with talented data analysts, data engineers, software engineers, and business groups.
Analyzing and translating business needs into long-term solution data models, utilizing code for analyzing data, and building statistical and machine learning models and algorithms.
Evaluating implemented data systems for variances, discrepancies, and efficiency.
Supporting decision-making by providing requirements to develop analytic capabilities, platforms, pipelines, and metrics then using them to analyze trends and find root causes of model inaccuracy.
Requirements
Background in any of these areas: Statistics and Applied Math, Computer Science, Finance, and Economics.
Python/R/Scala and SQL, demonstrating best practices for data coding to ensure consistency.
English Proficiency
5+ years of experience working in the Data Science field
continuous learning opportunities through Wizeline Academy, including cloud certifications, mentorship, LinkedIn Learning, Udemy, and in-house technical bootcamps developed by our experts in the field.
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