
Científico de Datos
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Colombia.
• Design, develop, and implement advanced data science models using statistics, Machine Learning, and Artificial Intelligence.
• Generate insights that drive strategic decision-making.
• Create high-impact algorithms and solutions to enhance risk analysis, optimize processes, improve financial products, and elevate customer experience.
• Develop credit risk models and predictive analyses to assess solvency, default probability, portfolio behavior, and business trends.
• Build segmentation, cross-sell, and churn models.
• Identify opportunities to strengthen commercial and product strategies.
• Collaborate with Engineering and Business teams to transform data into scalable and actionable solutions.
• Ensure the quality and integrity of information.
• 3 to 5 years of experience as a Data Scientist.
• Advanced proficiency in Python, Pandas, Scikit-Learn, and XGBoost.
• Solid knowledge of statistics and Machine Learning.
• Advanced SQL skills, including complex joins, subqueries, and CTEs.
• Experience in developing, validating, and deploying end-to-end models.
• Desirable experience or knowledge in financial risk, credit, or banking.
• Bachelor's degree in Actuarial Science, Mathematics, Physics, or related fields.
• Preferred postgraduate degree in Science or Engineering.
• Analytical thinking and technical rigor.
• Ability to structure complex problems and develop scalable solutions.
• Clear communication skills to translate technical analyses into business impact.
• Interest in AI, LLMs, and new technologies applied to the financial sector.
• Proactivity, collaboration, and results-oriented mindset.
• Superior benefits compared to legal requirements.
• Diverse and collaborative environment.
• Culture of innovation.
• Opportunity to work with technology and key data to transform the financial system.
InnoData
Sigma Software Group
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