Senior Data Scientist

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Convert business requirements into analytical tasks by establishing the target, observation and performance periods, eligible demographics, baseline, and criteria for success prior to development.

• Create classification and regression models focused on credit risk, propensity, churn, collections, and pricing strategies.

• Conduct exploratory data analysis and feature engineering based on the business context and the availability of data at the time of decision-making.

• Assess models by examining out-of-time performance, stability, calibration, and segment-specific results.

• Utilize statistical inference and experimental design when the goal is to evaluate causal relationships.

• Analyze results by factoring in the costs of errors and their anticipated impact on business decisions.

• Record assumptions, methodologies, results, and limitations in a format that is auditable.

• Communicate findings and recommendations to both technical and executive stakeholders.

• Develop and improve data pipelines within the client environment, ensuring the reliability, organization, and accessibility of information for regulatory and tax teams.

• Collaborate with teams in credit, collections, sales, operations, and channels.

⛳️ Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline.

• Practical experience in developing and validating predictive models.

• Proficient in Python for analysis and modeling, including libraries such as pandas, scikit-learn, statsmodels, and gradient boosting.

• Advanced skills in analytical SQL.

• Familiarity with Spark and cloud-based analytics platforms.

• Strong understanding of statistical inference, causality, experimental design, and selection bias.

• Knowledgeable in class imbalance, the bias–variance trade-off, and asymmetric error costs.

• Experience using Git for version control and engaging in peer code reviews.

• Openness to working under an independent-contractor (PJ) arrangement.

🏝️ Benefits

• Competitive salary and performance bonuses.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements and a supportive team environment.