Mid-Level Data Scientist

Expresso São Miguel

. Develop and maintain statistical and Machine Learning models applied to business problems .

Posted 10/26/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining statistical and Machine Learning models, with a strong focus on translating business requirements into analytical solutions. Proficient in Python and familiar with Machine Learning libraries, capable of collaborating across multidisciplinary teams to drive data-driven decision-making.

Highest-signal resume keywords

Data Science Lifecycle ManagementMachine Learning Model DevelopmentPython Programming for Data ScienceStatistical Analysis and TechniquesData Visualization and Dashboard Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical AnalysisPredictive ModelingDescriptive ModelingData CleaningData TransformationPerformance Metrics TrackingGenerative AILLMsData Engineering Support

Soft Skills

CollaborationAutonomous WorkCommunicationProblem-SolvingReporting

Industry Keywords

LogisticsTransportationData ScienceInformation SecurityRegulatory Compliance

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Experience as a Data Scientist
Bachelor’s degree in mathematics, statistics, engineering, or information technology
Practical experience with Python applied to data science
Knowledge of Machine Learning libraries and frameworks
Knowledge of Generative AI project development, including LLMs and agents
Professional training or formal education in Data-related fields
Experience in the logistics and transportation sectors is preferred

Benefits

Comp & perks

This position is open to candidates with disabilities
Remote work