Data Scientist – Loans
Riachuelo
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇧🇷 Brazil
Visit company websiteJob Level
Senior
Tech Stack
AirflowAWSAzureCloudGoogle Cloud PlatformPySparkPythonSQL
About the role
- Predictive and Statistical Modeling: Develop, train, and validate predictive models applied to the loan product lifecycle and customer management, such as propensity and churn models;
- Data Management and Feature Engineering: Explore, structure, and enrich internal and external datasets to generate high-performance features for lending use cases, and ensure data quality, governance, and traceability of model inputs;
- CRM Products and Strategy: Create intelligent segmentations for loan origination and cross-sell campaigns, and support business teams in defining strategies to increase conversion;
- Analysis and Experimentation: Conduct exploratory and causal analyses to understand drivers of customer behavior, as well as design and evaluate A/B tests to validate loan portfolio offers;
- Production and Scalability: Collaborate with data engineers and technology teams to ensure model deployment with monitoring, performance, and fairness metrics;
- Advisory Role: Support Product, CRM, Credit, and Risk stakeholders in customer data–driven decision making.
Requirements
- Degree in Statistics, Mathematics, Engineering, Computer Science, Economics, or related fields;
- Proven experience in data science applied to credit/finance (preferably lending), including use and analysis of credit bureau data;
- Strong proficiency in:
- Programming in Python / PySpark;
- Advanced SQL for handling large volumes of data;
- Supervised and unsupervised machine learning techniques;
- Experience with cloud platforms (GCP, AWS, or Azure) and MLOps;
- Knowledge of version control tools (Git) and data pipeline tools (Airflow, dbt, etc.).
Benefits
- Health insurance;
- Dental insurance;
- Meal allowance;
- Food allowance;
- Gympass membership;
- Childcare assistance;
- Cultural allowance;
- Home office allowance;
- PPR (Results Participation Program / profit-sharing);
- Private pension plan;
- Group life insurance;
- Educational partnerships;
- Discounts at Riachuelo.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
predictive modelingstatistical modelingdata managementfeature engineeringA/B testingmachine learningPythonSQLPySparkMLOps
Soft skills
collaborationadvisorycommunicationanalytical thinkingproblem solving