B2

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