Senior Risk Data Scientist (Científico De Datos De Riesgo Senior) - Latam
Clara
- Neuquén
- Permanente
- Tiempo completo
What you'll do
Problem Definition and Solution Design: Identify and define problems collaboratively with cross-functional teams, propose feasible end-to-end solutions, and maintain clear communication to ensure alignment with business objectives.
Data Understanding: Explore, profile, and interpret large datasets to gain a deep understanding of data structure, quality, and behavior.
Identify patterns, anomalies, and trends; validate assumptions; assess data completeness and consistency; and translate data findings into clear insights that support informed business decision-making.
Data Cleaning and Preprocessing: Prepare, clean, and transform raw data to ensure it is suitable for analysis and model development.
Apply data quality checks, validation rules, and preprocessing techniques in alignment with the data understanding and data preparation phases of CRISP-DM to ensure accuracy, consistency, and reliability.
Machine Learning and Predictive Analytics: Design, build, deploy and monitor machine learning models to improve business operations and drive innovation following the CRISP-DM methodology.
Continuously monitor model performance, data drift, and outcomes to ensure reliability and effectiveness in production.
Continuous Learning and Innovation: Stay up to date with the latest advancements in data science, machine learning, and statistical methods.
Contribute to the development of new analytical approaches and tools.
Who you are
Experience: At least 5 years of experience in data science, analytics, or a related field, including 2 to 3 years of hands-on experience developing credit risk models.
Technical Skills:
Proficiency in programming (Python).
Experience with SQL for data manipulation and querying.
Hands-on experience with ML platforms (MLflow, Databricks) and machine learning libraries such as scikit-learn and PyTorch.
Experience with data visualization tools (e.g., Metabase) is a plus.
Soft Skills: Strong data storytelling and presentation skills, with the ability to communicate insights clearly to stakeholders and track initiatives end-to-end.
Strong resilience and problem-solving mindset, learning from challenges, understanding the broader context, and focusing on high-impact execution.
Education: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
A master's degree is a plus.
Must haves
Solid understanding of data engineering concepts and ETL processes.
Experience taking data workflows or models from development to production.
Master's degree in Data Science or a related field.
What we offer
Competitive salary and stock options (ESOP) from day one.
Multicultural team with daily exposure to Portuguese, Spanish, and English.
Annual learning budget and internal accelerated development paths.
High-ownership environment: we move fast, learn fast, and raise the bar—together.
Smart, ambitious teammates—low ego, high impact.
Flexible vacation and hybrid work model focused on results.
If you're ready for growth, ownership, and impact — apply now and help us redefine B2B finance in Latin America.
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