We are seeking a Lead Data Scientist / Data Analyst to design, validate, and integrate scalable ML solutions that standardize clinical signalment attributes and generate health-predisposition insights in high-volume data pipelines. You will lead deterministic-first modeling, rigorous evaluation, and production transition with strong documentation and governance.ResponsibilitiesLead design and delivery of optimized models for species, gender, breed, weight classification, and age classificationBuild health-predisposition insights models using standardized signalment attributes and governed ontologiesApply a deterministic-first approach and use machine learning primarily for high-ambiguity scenariosDefine class-frequency tiers, calibrated thresholds, and evaluation plans that go beyond overall accuracyProduce confidence scores, method traces, exception flags, and model versioning artifacts for each modelCreate model cards and documentation that support governance, reproducibility, and transition to operationsValidate performance across common, rare, ambiguous,



and clinically significant cases using appropriate classification metricsIncorporate animal-health domain knowledge into life-stage thresholds, breed-dependent reference ranges, and risk mappingsImplement training and evaluation pipelines in Databricks with MLflow tracking and reproducible buildsCollaborate with SMEs to refine labels, interpret validation feedback, and adjust modeling strategiesSupport integration into production data pipelines and contribute to stabilization and knowledge transferRequirements5+ years of experience in data science and machine learning for classification problemsHands-on experience building hybrid deterministic + ML solutions for ambiguous casesLead-level ownership of end-to-end model delivery from prototyping through stabilization and knowledge transferStrong project execution skills in fixed-scope, milestone-driven delivery with multiple parallel model tracksHands-on Python.ML

📌 Lead Data Scientist (Colombia)
🏢 EPAM Systems
📍 Colombia