Senior Data Scientist

Konfío

. Build predictive models and ML algorithms for customer origination and management using alternative data sources such as electronic invoicing .

Posted 10/14/2026full-timeMexico City • MexicoSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building predictive models and machine learning algorithms, with a strong focus on model governance and compliance. Proficient in Python programming, data analysis, and translating complex findings for cross-functional teams.

Highest-signal resume keywords

Predictive ModelingMachine Learning AlgorithmsAdvanced Python ProgrammingModel Governance StandardsFinancial Sector Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingMachine LearningA/B TestingCausal InferencePythonPandasScikit-learnSQLBig Data AnalysisDeep Learning

Soft Skills

MentoringCommunication

Tools & Technologies

GitAWSMLOpsAPIs

Industry Keywords

Risk ModelsCollections ModelsModel ValidationBias AnalysisRegulatory Compliance

Tech Stack

Tools & technologies

AWSCloudPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Build predictive models and ML algorithms for customer origination and management using alternative data sources such as electronic invoicing
Run rigorous experiments including A/B testing, champion-challenger, and causal inference
Evaluate LLMs in the development lifecycle using quality evaluations
Write scalable Python code to track model drift and trigger retraining
Partner with ML Engineers and Tech to automate CI/CD pipelines, versioning, and production deployments
Enforce model governance standards, including documentation, validation, explainability, bias analysis, and regulatory compliance
Translate complex technical findings for executive leadership and cross-functional Credit, Product, and Business teams
Mentor junior data scientists

Requirements

What you’ll need

BS in a quantitative STEM field with 5+ years of analytics experience (or Master's with 2+ years)
Minimum 3 years of proven experience as a Data Scientist
Advanced object-oriented Python, including Pandas and scikit-learn
Complex SQL and Git
Experience extracting and analyzing large datasets (Big Data)
Deep expertise in supervised and unsupervised models, deep learning, causal inference, and statistical fundamentals
Hands-on experience with LLMs, foundational models, and agentic systems via APIs or open-source tools
Advanced English proficiency
Financial sector experience operating Risk and Collections models, cloud platforms (AWS), and MLOps practices are desirable

Benefits

Comp & perks

Impact at Scale: Build analytical solutions that directly shape credit risk assessment and drive core business value
Cutting-Edge Innovation: Lead the practical integration of Generative AI and emerging technologies to elevate our data science capabilities
Strategic Collaboration: Work closely with Credit, Product, and Tech teams to ensure technical viability aligns with real market needs
Culture of Excellence: Join a high-performance, C-Level-facing environment that values GRIT, critical thinking, strategic execution, and the responsible use of AI