
Senior Data Scientist
B2
contract
Posted on:
Location Type: Remote
Location: Brazil
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Job Level
About the role
- Develop and lead machine learning and generative AI solutions
- Design and implement applications using LLMs and agent-based architectures
- Translate business problems into scalable analytical and AI solutions
- Build and validate statistical and machine learning models
- Apply advanced feature engineering techniques
- Develop data pipelines in partnership with engineering
- Implement RAG strategies and tool orchestration
- Evaluate, monitor, and optimize model and LLM performance
- Ensure quality, reliability, and continuous improvement of solutions
- Work with multiple models, balancing cost and performance
- Collaborate with engineering, data, and product teams
- Communicate results and insights clearly to stakeholders.
Requirements
- Applied statistics and inference
- Supervised and unsupervised machine learning models
- Advanced feature engineering
- Model evaluation and validation
- Advanced prompt engineering
- Retrieval-Augmented Generation (RAG)
- Agent architecture and development
- Tool orchestration in AI workflows
- Evaluation and improvement of LLM responses
- Experience with LLMs (OpenAI, Claude, Llama, Bedrock)
- Multi-model strategies focused on performance and cost
- Advanced Python for analysis and model development
- Libraries such as Pandas, Polars
- ML frameworks (scikit-learn, PyTorch or similar)
- Advanced SQL for data manipulation
- Consumption of data from Data Lakes
- Integration with data pipelines
- Experience with AWS (S3, SageMaker, Bedrock, Glue, Athena)
- MLOps / LLMOps practices (versioning, monitoring, continuous evaluation)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learninggenerative AIstatistical modelsfeature engineeringmodel evaluationprompt engineeringPythonSQLMLOpsLLMOps
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinkingstakeholder engagement