Cientista de Dados Sênior

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cientista de Dados Sênior in Brazil.

This role is focused on leveraging advanced data science and machine learning techniques to solve high-impact challenges in public education and financial governance. You will work on end-to-end AI solutions that directly support student retention strategies and fraud detection in school financial operations. The position involves building predictive models, developing anomaly detection systems, and transforming complex datasets into actionable insights for public sector decision-making. You will operate across the full data lifecycle, from data extraction and processing to model deployment and monitoring in production environments. The role requires strong technical expertise combined with the ability to translate analytical results into clear, actionable recommendations for non-technical stakeholders. This is a highly impactful position where data science is applied directly to improve educational outcomes and financial transparency at scale.

Accountabilities:

• Develop and implement machine learning models to predict student dropout risk, enabling early intervention strategies in education systems.
• Design and build fraud detection and anomaly detection models for financial transactions in school-related funding systems.
• Manage end-to-end data science workflows, including data extraction, transformation, modeling, and deployment into production environments.
• Work with large-scale datasets from data lakes and multiple sources, including APIs and internal systems.
• Build and maintain analytical pipelines using cloud-based platforms and machine learning tools.
• Translate complex analytical findings into dashboards, reports, and insights for public sector stakeholders and decision-makers.
• Support model monitoring, documentation, and continuous improvement of deployed solutions.
• Collaborate with technical and business teams to ensure solutions align with real-world policy and operational needs.

Requirements:

• Bachelor’s degree (or higher) in Information Technology, Computer Science, Data Science, or related field.
• Proven experience in data science projects, preferably involving fraud detection, anomaly detection, or financial risk analysis.
• Advanced proficiency in Python (Pandas, Scikit-learn, XGBoost, LightGBM) and strong SQL skills.
• Experience working with Microsoft Fabric and Azure Machine Learning (including Synapse, Notebooks, and MLflow).
• Strong experience integrating and consuming REST APIs and working with heterogeneous data sources.
• Ability to translate business problems into technical ML solutions with a strong focus on impact.
• Strong analytical thinking, problem-solving skills, and ability to communicate insights clearly to non-technical audiences.
• Nice to have: experience in public sector projects, fintech, auditing environments, or MLOps practices.

Benefits:

• Competitive compensation aligned with experience and market standards.
• Opportunity to work on high-impact projects in education and public policy transformation.
• Exposure to advanced cloud-based data science and AI technologies.
• Collaborative and innovation-driven work environment focused on continuous improvement.
• Professional growth opportunities in data science, machine learning, and AI engineering.
• Possibility to work with large-scale datasets and real-world societal impact use cases.
• Inclusive and supportive organizational culture focused on learning and development.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1