# CO - Sr. Data Scientist - 229

> Thaloz · Brazil (Remote) · — · Posted 2026-05-06

**Workplace:** remote

## Description

Clearco is a leader in AI and data-driven eCommerce funding, providing non-dilutive capital that helps founders grow without sacrificing equity. We are hiring a Senior Data Scientist to shape the models, experiments, and analytics that drive our risk, underwriting, and revenue decisions.

This hands-on senior role sits at the intersection of Data Science, Machine Learning, and Product. You will partner with Engineering, Product, Risk, and Finance to turn ambiguous problems into production-grade models and measurable outcomes that responsibly scale funding for eCommerce businesses.

### Responsibilities

-   Design and execute data science experiments, including causal analysis, A/B tests, and offline evaluation.
-   Develop, evaluate, and iterate on predictive models for credit/risk scoring, revenue forecasting, and policy performance.
-   Own model performance and monitoring: define success metrics, investigate drift, and drive improvements to data quality and feature reliability.
-   Partner with Product Engineering to productionize models and analytics with emphasis on reliability, reproducibility, and maintainability.
-   Perform exploratory data analysis, feature engineering, and robust validation on real-world, messy data.
-   Communicate insights and recommendations clearly to technical and non-technical stakeholders through documentation and presentations.
-   Improve analytical standards, code review practices, and documentation to raise technical quality.
-   Mentor and support team members through pairing, feedback, and sharing best practices.

## Requirements

-   5+ years of professional experience in data science, applied machine learning, or a related quantitative role.
-   Strong foundations in statistics and experimentation, including hypothesis testing, causal reasoning, and evaluation design.
-   Proven experience building and shipping predictive models (classification, regression, time series) and measuring real-world impact.
-   Strong proficiency in Python and SQL and comfort working with production data workflows.
-   Experience defining success metrics, aligning with stakeholders, and delivering end-to-end outcomes.
-   Strong written communication skills and a pragmatic approach to fast-moving environments.
-   Experience owning model performance, monitoring for drift, and improving feature reliability.

### Nice to Have

-   Experience with credit risk, underwriting, fraud/risk signals, or financial forecasting.
-   Experience with modern data tooling and warehouses such as BigQuery or Snowflake and transformation frameworks like dbt.
-   Familiarity with MLOps patterns (model deployment, monitoring, feature stores, orchestration) and cloud environments.
-   Experience working with messy third-party data sources (banking data, eCommerce platforms, marketing signals).

## Apply

[Apply at Thaloz](https://apply.workable.com/thaloz/j/409662A161/apply)

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