Expresso São Miguel

Data Scientist

• Develop and maintain statistical and Machine Learning models applied to business problems
• Contribute to generating insights and high-impact analytical solutions
• Work autonomously across the full data science lifecycle, from exploration through deployment
• Collaborate with multidisciplinary teams
• Support operational and tactical decision-making based on structured and unstructured data
• Develop, train, and validate predictive and descriptive models
• Apply statistical and Machine Learning techniques to identify patterns and trends relevant to the business
• Translate business requirements and problems into clear, objective analytical questions
• Propose technical approaches and independently implement solutions
• Support Data Engineering in structuring, transforming, and cleaning data
• Document the model lifecycle, including logic, assumptions, versions, parameters, and validation results
• Monitor the performance and accuracy of deployed models, identifying the need for adjustments or retraining
• Develop dashboards and data visualizations
• Define and track performance metrics for analytical solutions
• Collaborate with business, engineering, and product teams
• Report project progress, results, and challenges to leadership
• Support and participate in internal and external audits, ensuring compliance with corporate policies, regulatory requirements, and information security practices

Explore Mid-Level Data Scientist at Expresso São Miguel. Review requirements and application details.

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Mid-Level Data Scientist