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Data Scientist na VTEX

Remoto - Brazil

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As a Data Scientist, you will join the AI Models team at Weni by VTEX, a business unit of VTEX. You will be responsible for researching, developing, and improving machine learning models that power our conversational agents and multi‑agent systems. You are driven by curiosity and impact, transforming complex data into tangible improvements in user experience and product performance. What you will do: research, design, and implement machine learning models to improve the performance of conversational agents and multi‑agent systems; analyze large datasets to extract insights that guide model improvements and product decisions; work closely with engineers and product managers to bring AI models from prototype to production; continuously evaluate model performance and iterate based on real‑world usage and feedback; perform exploratory data analysis (EDA) to uncover hidden structures, anomalies, and relationships in data, informing hypothesis generation and experimental design for conversational AI systems. Who you are: strong foundation in Statistics, proficiency in Python, experience using Git for code version control, hands‑on practice with scikit‑learn, pandas, and other data‑related frameworks, knowledge of Deep Learning, experience with cloud services (AWS) for storage, pipelines, and deployment, monitoring of performance, data drift, and data quality in production, critical thinking, curiosity, proactive problem‑solving, clear communication (oral, written, and visual), collaborative work style, familiarity with GenAI/LLMs (prompt engineering, fine‑tuning, hallucination evaluation), and a bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or related fields.

Requirements

Education

  • Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or related fields

Skills

  • Statistics
  • Python
  • Git
  • scikit-learn
  • pandas
  • Deep Learning
  • AWS
  • Monitoring of performance, data drift, and data quality in production
  • Critical thinking
  • Curiosity
  • Proactive problem‑solving
  • Clear communication
  • Familiarity with GenAI/LLMs (prompt engineering, fine‑tuning, hallucination evaluation)

Responsibilities

  • research, design, and implement machine learning models to improve the performance of conversational agents and multi‑agent systems.
  • analyze large datasets to extract insights that guide model improvements and product decisions.
  • work closely with engineers and product managers to bring AI models from prototype to production.
  • continuously evaluate model performance and iterate based on real‑world usage and feedback.
  • perform exploratory data analysis (EDA) to uncover hidden structures, anomalies, and relationships in data, informing hypothesis generation and experimental design for conversational AI systems.

Technologies

Pythonscikit-learnpandasAWSGitDeep Learning

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