Tecla T

Senior Data Scientist

Tecla T

contract

Posted on:

Location Type: Hybrid

Location: Fortaleza • Brazil

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Job Level

Senior

Tech Stack

AWSAzureGoogle Cloud PlatformNumpyPandasPythonScikit-LearnSparkSQL

About the role

  • Work with unstructured or semi-structured data (documents, reports, free text, etc.) to extract information, classify content and detect patterns.
  • Design, develop and deploy machine learning models and LLM-based solutions for real business use cases (e.g., entity extraction, summarization, classification, risk analysis, workflow automation).
  • Build end-to-end data and ML pipelines on scalable platforms (e.g., Databricks or equivalents), including ingestion, cleaning, feature engineering, modeling, validation, deployment and monitoring.
  • Collaborate with business and technology teams to define problems, success metrics and measure impact.
  • Ensure best practices for data quality, governance, privacy and responsible AI use.
  • Communicate technical results clearly to non-technical audiences, linking analyses to business decisions.

Requirements

  • Degree in quantitative or technology-related fields (Computer Science, Engineering, Statistics, Mathematics, Data Science or related).
  • Practical experience in data science or machine learning with production projects.
  • Experience with LLMs, including API usage, prompt engineering, result evaluation and pipeline integration.
  • Proficiency in Python (pandas, numpy, scikit-learn, ML/LLM frameworks) and SQL.
  • Experience with cloud data environments or distributed processing platforms (e.g., Databricks, Spark, Azure, GCP, AWS).
  • Strong communication skills and the ability to translate analyses into business value.
  • Experience with MLOps (deployment, monitoring, versioning, retraining) is a plus.
  • Knowledge of explainability, algorithmic bias and model governance is a plus.
  • Experience with sensitive data or regulated environments is a plus.
  • Familiarity with visualization tools or modern data architecture is a plus.
Benefits
  • 13 invoices issued per year
  • Company-provided equipment
  • 30 days of paid leave after 12 months
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningLLM-based solutionsdata pipelinesfeature engineeringmodelingvalidationdeploymentmonitoringPythonSQL
Soft Skills
communication skillscollaborationproblem definitionsuccess metricsimpact measurement