Posted Sep 21, 2026

Senior Data Scientist - Credit Risk Modeler - Databricks

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🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀

At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.

This opportunity is with a leading multinational beverage company based in Mexico City.

We are looking for a Senior Data Scientist  - Credit Risk Modeler to join our team 🐶🚀. You'll inherit, maintain, and evolve our Credit Score model (Hit / No Hit), applying credit-risk modeling expertise to segment the portfolio by probability of default and enable dynamic credit lines.

This role works closely with data and platform teams, taking ownership of a live financial model and evolving it responsibly. Strong statistical rigor, business understanding of credit risk, and ownership are essential to succeed in this fast-paced, collaborative environment.



🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. This opportunity is with a leading multinational beverage company based in Mexico City. We are looking for a Senior Data Scientist  - Credit Risk Modeler to join our team 🐶🚀. You'll inherit, maintain, and evolve our Credit Score model (Hit / No Hit), applying credit-risk modeling expertise to segment the portfolio by probability of default and enable dynamic credit lines. This role works closely with data and platform teams, taking ownership of a live financial model and evolving it responsibly. Strong statistical rigor, business understanding of credit risk, and ownership are essential to succeed in this fast-paced, collaborative environment.

🚀 What We Do
  • Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
  • Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
  • Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
  • Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
  • Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
  • Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.


    • 🌟 Our Partnerships
  • Amazon Web Services
  • Astronomer
  • Databricks


    • 🌟 Our Values
  • 📊 We are Data Nerds
  • 🤗 We are Open Team Players
  • 🚀 We Take Ownership
  • 🌟 We Have a Positive Mindset
    •  
    🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀


    Responsibilities 🤓
  • Take ownership of the existing model (tree ensembles / gradient boosting), retrain it, and incorporate new features (e.g., digital payments, CISP).
  • Evaluate performance (AUC-ROC, F1, probability calibration) and segment risk levels A–F aligned with credit standards.
  • Calculate dynamic credit lines and expected loss (risk exposure), integrating score, potential, and sales history.
  • Package the model under the MFL framework (PyFunc, model_card, tests) for productionization.


    • Required Skills 🚀
  • Proven experience in credit risk / scoring models and supervised machine learning.
  • Python (scikit-learn, XGBoost), statistics, model validation, and MLflow.
  • Understanding of risk metrics (PD, expected loss, exposure).


    • Nice to Have Skills 😉
  • Experience in financial services, credit bureaus, or commercial credit portfolios.
  • Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP).

    • Requires credit risk modeling and supervised machine learning experience, Python with scikit-learn and XGBoost, statistics, model validation, MLflow, and knowledge of probability of default, expected loss, and exposure.

    Key Responsibilities

    Skills & Tools

    Python, scikit-learn, XGBoost, MLflow, Mosaic AI Agent Framework, MCP, PyFunc, Databricks

    Job Details

    About Muttdata

    A remote-first technology company that builds data products and machine learning solutions for business challenges. — Industry: Information Technology

     
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