Senior Data Scientist - Credit Risk Modeler - Databricks

Posted Yesterday
Be an Early Applicant
Hiring Remotely in ARG
Remote
Senior level
Artificial Intelligence • Information Technology • Machine Learning
The Role
Own and evolve a live credit scoring model using tree ensembles and gradient boosting. Retrain the model, add new data features, evaluate AUC-ROC, F1, and calibration, segment portfolios by probability of default, and calculate dynamic credit lines and expected loss. Package the model for production using the MFL framework, PyFunc, model cards, and tests while collaborating with data and platform teams.
Summary Generated by Built In

πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€

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 πŸΆπŸš€. 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.

πŸš€ 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

  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
  •  
    πŸ” 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! πŸš€

Responsibilities πŸ€“

  • 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 πŸš€

  • 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 πŸ˜‰

  • 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).

Skills Required

  • Proven experience developing credit risk or credit scoring models
  • Experience with supervised machine learning
  • Python programming
  • scikit-learn
  • XGBoost
  • Statistics and model validation
  • MLflow
  • Understanding of probability of default, expected loss, and exposure risk metrics
  • Experience in financial services, credit bureaus, or commercial credit portfolios
  • Experience developing AI agents or agentic infrastructure, including Mosaic AI Agent Framework, agent orchestration, or MCP
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Buenos Aires
99 Employees
Year Founded: 2017

What We Do

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning & AI solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices. We Are Astronomer, Amazon, Databricks, GCP and H2O Consulting Partners. We Are #DataNerds

Similar Jobs

Mastercard Logo Mastercard

Director - Consumer Acquisition and Engagement, Product

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Remote or Hybrid
Buenos Aires, Ciudad Autónoma de Buenos Aires, ARG
38800 Employees

Webflow Logo Webflow

Information Technology Support Specialist

Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Easy Apply
Remote
Argentina
800 Employees
Remote or Hybrid
2 Locations
289097 Employees

Mastercard Logo Mastercard

Manager, Implementation

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Remote or Hybrid
Buenos Aires, Ciudad Autónoma de Buenos Aires, ARG
38800 Employees

Similar Companies Hiring

Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account