Senior Data Scientist

Posted 19hrs ago

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Job Description

Cientista de Dados Sr. desenvolvendo modelos preditivos e análises estatísticas para crédito, cobrança, vendas e operações da Go.k Digital. Construção de pipelines e documentação auditável.

Responsibilities:

  • Translate business needs into analytical problems by defining the target, observation and performance windows, eligible population, baseline, and success criteria before development.
  • Develop classification and regression models for credit risk, propensity, churn, collections, and pricing.
  • Perform exploratory analysis and feature engineering based on the business context and data availability at the time of decision-making.
  • Validate models by considering out-of-time performance, stability, calibration, and results by segment.
  • Apply statistical inference and experimental design when the objective is to assess causal relationships.
  • Evaluate results by considering the costs of errors and the expected impact on business decisions.
  • Document assumptions, methodology, results, and limitations in an auditable format.
  • Present conclusions and recommendations to technical and executive audiences.
  • Build and enhance data pipelines in the client environment, ensuring the reliability, organization, and availability of information for regulatory and tax-related teams.
  • Work in partnership with credit, collections, sales, operations, and channel teams.

Requirements:

  • Degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field.
  • Hands-on experience developing and validating predictive models.
  • Proficiency in Python for analysis and modeling, including pandas, scikit-learn, statsmodels, and gradient boosting libraries.
  • Advanced analytical SQL.
  • Experience with Spark and cloud-based analytics platforms.
  • Strong knowledge of statistical inference, causality, experimental design, and selection bias.
  • Knowledge of class imbalance, the bias–variance trade-off, and asymmetric error costs.
  • Experience with Git version control and peer code review.
  • Willingness to work under an independent-contractor (PJ) arrangement.