
Mid-level Data Scientist – Machine Learning
Posted May 7

Posted May 7
This is a fully remote position, open to applicants in Brazil.
• Utilize data analysis methodologies to address business challenges within the specified scope.
• Perform exploratory data analysis (EDA) to uncover patterns, trends, and potential opportunities.
• Prepare datasets and execute feature engineering for model development.
• Create, test, and validate Machine Learning models.
• Assess model performance using suitable evaluation metrics.
• Assist in interpreting results and generating actionable insights.
• Present analytical findings to both technical and business audiences.
• Work collaboratively with cross-functional teams, including business, engineering, and IT.
• Confirm hypotheses, assumptions, and model outputs with relevant stakeholders.
• Proven experience in data analysis and Machine Learning.
• Strong proficiency in Python (including libraries such as pandas, numpy, scikit-learn) or R.
• Experience with SQL for data manipulation tasks.
• Practical knowledge of Exploratory Data Analysis (EDA).
• Skills in data preparation and cleaning.
• Experience in feature engineering.
• Competence in model training and validation.
• Familiarity with model evaluation metrics such as accuracy, precision, recall, and F1 score.
• Opportunity to work remotely.
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