Lead Data Scientist - Healthcare AI & Production ML

EPAM Systems; México; On-site; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

Healthcare benefits

Upskilling & certification courses

Paid time off

Global career opportunities

Job summary

EPAM Systems in Mexico is 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 pipelines. You will lead deterministic-first modeling, rigorous evaluation, and production transition with strong documentation and governance.

You will collaborate with SMEs, manage end-to-end model delivery, and ensure governance, reproducibility, and knowledge

Qualifications

• 5+ years of experience in data science and ML for classification problems.
• Hands-on experience building hybrid deterministic + ML solutions for ambiguous cases.
• Lead-level ownership of end-to-end model delivery from prototyping through stabilization and knowledge transfer.
• Strong project execution skills in fixed-scope, milestone-driven delivery with multiple parallel model tracks.
• Hands-on Python ML for feature engineering, training, and evaluation workflows.
• Databricks and MLflow experience for reproducible training, evaluation, and model versioning.
• Computer vision and natural language processing experience to support fuzzy matching and embedding-based approaches.
• OMOP Common Data Model knowledge and SNOMED CT Veterinary Extension concept-mapping experience.
• Strong analytical skills to define class-frequency tiers, calibrated risk bands, and performance thresholds.
• Strong communication skills to interpret annotation and validation plans with domain SMEs and translate them into model updates.
• Advanced English proficiency (C1+ level).

Responsibilities

• Lead design and delivery of optimized models for species, gender, breed, weight classification, and age classification
• Build health-predisposition insights models using standardized signalment attributes and governed ontologies
• Apply a deterministic-first approach and use machine learning primarily for high-ambiguity scenarios
• Define class-frequency tiers, calibrated thresholds, and evaluation plans that go beyond overall accuracy
• Produce confidence scores, method traces, exception flags, and model versioning artifacts for each model
• Create model cards and documentation that support governance, reproducibility, and transition to operations
• Validate performance across common, rare, ambiguous, and clinically significant cases using appropriate classification metrics
• Incorporate animal-health domain knowledge into life-stage thresholds, breed-dependent reference ranges, and risk mappings
• Implement training and evaluation pipelines in Databricks with MLflow tracking and reproducible builds
• Collaborate with SMEs to refine labels, interpret validation feedback, and adjust modeling strategies
• Support integration into production data pipelines and contribute to stabilization and knowledge transfer

Skills

Python for ML

Data science & ML for classification

English communication

Tools

Databricks

MLflow

Job description

EPAM Systems in Mexico is 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 pipelines. You will lead deterministic-first modeling, rigorous evaluation, and production transition with strong documentation and governance.

You will collaborate with SMEs, manage end-to-end model delivery, and ensure governance, reproducibility, and knowledge