Nelo

www.nelo.mx

1 Job

65 Employees

About the Company

Crédito a tu medida, como debe ser. Nelo's mission is to increase the buying power of consumers in Latin America. Our Values: *Everyone Is An Owner* *Be Our Best Selves* *Move Fast, Learn Fast* *Open & Honest Communication* *Customer-First*

Listed Jobs

Company Name: Nelo
Job Title: Data Scientist (Machine Learning)
Job Description: **Job Title** Data Scientist (Machine Learning) **Role Summary** Develop causal‑inference and optimization models that drive credit underwriting and portfolio decisions. Build and refine algorithms for credit pricing, personalization, and ranking while owning the end‑to‑end ML infrastructure to ensure model observability and operational excellence. **Expectations** - PhD preferred in Statistics, Machine Learning, Econometrics or related field. - Minimum 5 years of production‑level data science experience. - Ability to balance rigorous theoretical modeling with rapid, impactful delivery. - Comfortable writing production‑grade Python and SQL code, leading to deployable pipelines. - Strong collaborative mindset with engineering and data teams. **Key Responsibilities** 1. Design, validate and deploy causal inference models for underwriting and risk management. 2. Develop, test and iterate credit‑pricing, personalization and ranking algorithms that directly influence consumer access and company margin. 3. Lead ML infrastructure projects: model packaging, versioning, observability, monitoring, and scaling in production environments. 4. Maintain rigorous documentation and transparency for model decisions and performance metrics. 5. Work with cross‑functional teams to translate business objectives into measurable data science solutions. **Required Skills** - Expertise in causal inference, econometrics, statistical learning, classification, forecasting, and constrained optimization. - Proficiency in Python, SQL, and distributed computing frameworks (e.g., Spark, Hadoop) is essential. - Experience with production ML pipelines, CI/CD, model serving, and observability tools. - Strong analytical reasoning, clear communication, and ability to explain complex models to non‑technical stakeholders. **Required Education & Certifications** - PhD in Statistics, Computer Science, Econometrics, Finance, or related discipline (Master’s acceptable if accompanied by significant theoretical depth and production experience).

New york, United states

On site

Mid level

13-01-2026