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

This role is part of a mission-driven environment focused on transforming healthcare through data, technology, and advanced analytics. As a Data Scientist, you will work on turning large and complex datasets into actionable insights that directly support strategic and operational decisions. You will develop predictive and statistical models that help improve performance, efficiency, and decision-making across multiple business areas. The position involves close collaboration with cross-functional teams to identify opportunities where data can drive impact, especially in healthcare-related contexts. You will also contribute to deploying and monitoring models in production, ensuring reliability and scalability. Working in a remote-first setup, you will be part of a collaborative and innovation-driven team that values continuous learning and experimentation. Your work will directly contribute to improving outcomes in a large and fast-evolving healthcare ecosystem.

• Collect, clean, and analyze large volumes of structured and unstructured data to generate meaningful insights.
• Develop and implement statistical, predictive, and machine learning models for classification, forecasting, and optimization.
• Build dashboards and reports to track key business and operational metrics.
• Partner with business stakeholders to identify data-driven opportunities and translate needs into analytical solutions.
• Deploy, monitor, and maintain machine learning models in production environments.
• Ensure data quality, governance, and consistency across analytical processes and pipelines.
• Explore and apply new techniques, tools, and AI-driven approaches to improve analytical capabilities.

• Degree in Statistics, Mathematics, Engineering, Computer Science, or related fields.
• Strong experience with Python or R for data science applications.
• Solid knowledge of SQL for data manipulation and querying.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of statistical modeling and predictive analytics.
• Experience with data visualization tools such as Power BI, Tableau, or similar.
• Nice to have: experience with cloud platforms (AWS, Azure, or GCP).
• Nice to have: knowledge of MLOps practices and model deployment.
• Nice to have: familiarity with LLMs and generative AI applications.
• Nice to have: experience in agile environments.
• Strong analytical thinking and ability to translate business problems into data solutions.
• Experience with use cases such as churn prediction, recommendation systems, or demand forecasting is a plus.

• Flexible meal or food allowance via card.
• Health and dental insurance coverage.
• Life insurance.
• Flexible working hours and remote work model.
• Performance-based bonus (PLR).
• Wellness and mental health support platforms.
• Fitness benefits (Gympass/Wellhub).
• Extended parental leave policies.
• Childcare and family support programs.
• Learning platform access, language courses, and professional development programs.
• Discounted access to undergraduate and postgraduate education programs.
• Birthday day off and additional wellbeing perks.