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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building, training, and deploying machine learning models with a strong foundation in statistics and modeling techniques. Proficient in translating business needs into effective modeling strategies while collaborating with technical and business stakeholders.
Highest-signal resume keywords
Machine Learning TheoryPython ProgrammingModel DeploymentSQL QueryingCloud Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
StatisticsMachine LearningModeling TechniquesRegressionTree-Based ModelsDeep LearningModel ValidationOverfitting UnderstandingEvaluation MetricsData Architecture Patterns
Soft Skills
Strong Communication SkillsCollaboration
Tools & Technologies
Scikit-LearnPyTorchTensorFlowXGBoostAWSGCPAzureMLflowFeastAirflow
Industry Keywords
Data LakeData WarehouseData MartData VisualizationLookerPower BITableauMLOpsFeature StoresMicroservices
Tech Stack
Tools & technologiesAirflowAWSAzureCloudDistributed SystemsGoogle Cloud PlatformMicroservicesPythonPyTorchScikit-LearnSQLTableauTensorflow
About the role
Key responsibilities & impact- Build, train, and deploy models driving credit, fraud, risk, personalization, and AI-native experiences
- Frame ambiguous business problems as well-defined modeling problems
- Directly contribute to Nu Colombia’s strategy and performance by building forecasting models and models assessing and deciding on marketing investments
- Design, build, and validate machine learning models with statistical rigor and business relevance
- Engineer and maintain features and datasets for training and inference
- Deploy and maintain ML models in batch and real-time scenarios
- Integrate models with other systems and monitor operational and business metrics
- Lead modeling projects end-to-end from problem framing and stakeholder alignment through delivery, monitoring, and iteration
- Translate business needs into modeling strategies aligned with Nubank’s architecture and long-term goals
Requirements
What you’ll need- Strong foundation in statistics, machine learning theory and modeling techniques (e.g. regression, tree-based models, deep learning)
- Programming experience in Python and familiarity with ML libraries (e.g. scikit-learn, PyTorch, TensorFlow, XGBoost)
- Experience training, validating, and tuning models, with solid understanding of overfitting, bias-variance tradeoff and evaluation metrics
- Understanding of the ML model lifecycle, from training and evaluation to deployment and monitoring
- Ability to write efficient SQL queries and work with analytical data environments
- Strong communication skills to collaborate with both technical and business stakeholders
- Passion for building high-quality, production-grade models
- Experience with cloud platforms such as AWS, GCP or Azure
- Familiarity with distributed systems, microservices and asynchronous architectures
- Experience with feature stores, MLOps tooling and experiment tracking (e.g. MLflow, Feast, Airflow)
- Knowledge of data architecture patterns (Data Lake, Data Warehouse, Data Mart)
- Experience with data visualization tools (Looker, Power BI, Tableau or similar)
- Knowledge of software engineering best practices: testing, clean code, documentation
- Availability to work 2 to 3 days per week onsite at the Bogotá office
- Legal authorization to work in the country where the position is located
Benefits
Comp & perks- Chance of earning equity at Nu
- Extended maternity and paternity leaves
- Health and life insurance
- NuCare - Our mental health and wellness assistance program
- Nucleo - Our learning platform of courses
- NuLanguage - Our language learning program
- Vacations of 15 workdays
- Gym partnership
- Work-from-home Allowance
- Parental Consultancy
- Relocation Assistance Package, if applicable
