Cientista de Dados Sênior (Chatbot & IA)

New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
Machine LearningData scienceData visualization

Requirements

  • Degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related fields.
  • Strong experience building chatbot systems and data correlation or predictive models.
  • Solid knowledge of machine learning techniques, statistical modeling, and end-to-end ML pipelines.
  • Hands-on experience with data preprocessing, feature engineering, and model evaluation.
  • Ability to work independently with high ownership and minimal supervision.
  • Strong communication skills to interact with business stakeholders and translate needs into technical solutions.
  • Experience with fraud detection models or decision engines is a strong plus.
  • Ability to design and deliver dashboards and analytical visualizations.
  • Strong problem-solving mindset and ability to operate in ambiguous environments.
  • Experience mentoring or supporting junior data professionals is a plus.

Responsibilities

  • Lead end-to-end data science projects with high autonomy, from business understanding to model deployment and monitoring.
  • Design and develop AI and machine learning solutions, with focus on chatbot systems and transactional intelligence models.
  • Build statistical and machine learning models to support fraud detection and decision automation use cases.
  • Translate business requirements into technical solutions, defining scope, approach, trade-offs, and delivery timelines.
  • Perform data collection, cleaning, transformation, and feature engineering for model readiness.
  • Correlate and analyze multiple datasets to generate insights and improve model accuracy and robustness.
  • Develop dashboards and metrics to support monitoring, performance tracking, and business decision-making.
  • Document technical solutions, methodologies, and model designs to ensure reproducibility and knowledge sharing.
  • Mentor and guide less experienced team members across the machine learning lifecycle.
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