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Nava Technology for Business

Cientista de Dados Pleno | Crédito e Analytics

Hybrid

São Paulo, SP, Brazil

Salary Range

BRL

Full Time Employee

Experience Level

Mid level

Requirements

3+ years of experience in the career
Python
AWS
SQL
Modelagem Estatística

Desired Skills

IA Generativa
Tableau
Engenharia de Prompt
Testes A/B
Power BI

Tasks and Responsibilities

Show original

At Nava, we believe in the power of technology to transform businesses — and we have a challenging and strategic opportunity waiting for you.

Come write code with us! 🚀

You will work on data analysis and development of analytical solutions focused on strategies and policies, supporting business decision-making through studies, indicators, segmentations, and low to medium complexity analytical models.

Key Responsibilities

  • Develop business analyses to support decision-making in processes and policies involving business decisions.
  • Build and monitor performance, risk, and outcome indicators of implemented strategies.
  • Conduct exploratory analyses, segmentations, and ad hoc studies to identify opportunities and mitigate risks.
  • Develop and maintain analytical and predictive models of simple to intermediate complexity.
  • Evaluate impacts and measure results of implemented policies, strategies, and tests.
  • Translate business demands into data-driven solutions.
  • Prepare executive presentations with recommendations and insights for technical and non-technical audiences.

Requirements and Knowledge

  • Experience with Python for data analysis and manipulation.
  • Experience with SQL for extraction, treatment, and analysis of large data volumes.
  • Knowledge of AWS Cloud environments.
  • Experience building dashboards, indicators, and performance analyses.
  • Experience with statistical and predictive models, including:
    • Linear and logistic regressions;
    • Decision trees and tree-based models;
    • Segmentation and classification techniques.
  • Ability to understand business problems and transform them into actionable analyses and recommendations.
  • Experience in presentations and communication of results for technical and non-technical audiences.

Preferred Qualifications

  • Experience in credit, risk, collections, or financial products.
  • Knowledge of prompt engineering and use of Generative AI tools.
  • Experience with Power BI, Tableau, or similar tools.
  • Knowledge of experimentation, A/B testing, and impact measurement.

Soft Skills

  • Profile with interest in continuous learning.
  • Autonomy to conduct analyses and studies end-to-end.
  • Critical vision and ability to transform data into business recommendations.
  • Good verbal and written communication.
  • Proactive, collaborative, and problem-solving oriented profile.

Interested? Apply for the position and take your technical interview with SophIA:

https://

Code: NAVA-CIENTISTAPL

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