Senior Data Scientist ID80052
On-siteFlorianópolis, Santa Catarina, Brazil
Job Summary
Develop, deploy, and maintain production machine learning models while building and improving data pipelines that support ML workflows. Perform exploratory data analysis and feature engineering to deliver scalable solutions, collaborating with engineering and business stakeholders. Contribute to AI and LLM-based capabilities where applicable, utilizing strong Python and advanced SQL skills within a cloud-native enterprise environment on AWS SageMaker or equivalent platforms. Requires 4+ years of production ML experience, including model monitoring and deployment beyond notebooks. Work 100% remotely with flexible hours.
Required Qualifications
- 4+ years of experience building and maintaining production machine learning models
- Strong Python programming skills
- Experience with AWS SageMaker or another enterprise ML platform, such as Vertex AI or Azure ML, supporting production ML pipelines
- Experience deploying and monitoring ML models in production, not only notebook-based development
- Advanced SQL skills
- Git and version control experience
- Experience working independently in production environments
- Experience building scalable ML solutions in enterprise environments
- Familiarity with cloud-based ML platforms and production deployment best practices
- Strong communication skills and the ability to work with cross-functional teams
- Upper-intermediate English level
Desired Qualifications
- Experience with MLOps tools such as MLflow, Airflow, dbt, or similar
- Experience with Snowflake
- Marketing, growth, experimentation, or causal inference experience
- Experience with LLMs or AI agents
- Familiarity with Agile development practices
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