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 skills for feature engineering, training, and evaluation workflowsDatabricks and MLflow experience for reproducible training, evaluation, and model versioningComputer vision and natural language processing experience to support fuzzy matching and embedding-based approachesOMOP Common Data Model knowledge and SNOMED CT Veterinary Extension concept-mapping experienceStrong analytical skills to define class-frequency tiers, calibrated risk bands, and performance thresholdsStrong communication skills to interpret annotation and validation plans with domain SMEs and translate them into model updatesAdvanced English proficiency (C1+ level)Nice to haveExpertise with classification metrics for imbalanced data such as PR AUC, F1 by class, and balanced accuracyExperience using calibrated probability and reliability diagrams to assess confidence scoresAbility to set per-tier metric targets and acceptance criteria for rare and clinically significant classesWe offerInternational projects with top brandsWork with integral teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
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📌 Lead Data Scientist / Data Analyst with Animal Healthcare background (Ejido del Centro)
🏢 Epam Systems
📍 Ejido del Centro