Data Scientist developing and implementing machine learning models at Gauge, enhancing partner results through integrated solutions. Focusing on data analysis and model deployment.
Responsibilities
Develop, train, and deploy machine learning and statistical models to solve business problems.
Perform exploratory data analysis to identify patterns, trends, and opportunities.
Build and maintain data pipelines and predictive models in production environments.
Collaborate with business stakeholders, data engineering, and technology teams to translate business problems into analytical solutions.
Create visualizations and present results to technical and non-technical stakeholders.
Ensure development best practices and data governance.
Support the definition of architecture and strategies for the use of data and analytics.
Requirements
Solid experience working as a Data Scientist.
Strong knowledge of Python or R for data analysis and modeling.
Experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.).
Advanced knowledge of statistics, predictive modeling, and data analysis.
Experience with SQL and handling large volumes of data.
Experience with cloud environments (AWS, Azure, or GCP).
Experience deploying models and data pipelines.
Good communication skills to present results and insights.
Benefits
Meal and Food Vouchers
Health insurance
Dental insurance
Day off
Gympass/Totalpass
Childcare assistance
Pet assistance
Fuel allowance
Home office allowance
Educational reimbursement
Free online health platform
E-learning - Stefanini Academy with a variety of courses
Mentoring - Mentoring platform (an opportunity to meet people, develop skills, and share experiences)
Discounts for undergraduate, postgraduate, language, and other courses
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