Lead Data Scientist: Health AI & Deterministic ML

EPAM Systems; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Healthcare benefits

Learning programs

Paid time off and sick leave

Upskilling and certification courses

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

Job summary

EPAM Systems, Inc. seeks a Lead Data Scientist / Data Analyst to design and validate scalable ML solutions for health-predisposition insights from high-volume data pipelines. You will oversee deterministic-first modeling, governance, and production transition with strong documentation.

You will lead end-to-end model delivery, collaborate with SMEs, refine labels, and implement training/evaluation pipelines in Databricks with MLflow to ensure reproducibility and robust performance.

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.
• Strong project execution skills in fixed-scope, milestone-driven delivery with parallel tracks.
• Hands-on Python, ML skills for feature engineering, training, and evaluation workflows.

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 ML primarily for high-ambiguity scenarios.
• Define class-frequency tiers, calibrated thresholds, and evaluation plans beyond overall accuracy.
• Produce confidence scores, method traces, exception flags, and model versioning artifacts.
• Create model cards and documentation to support governance, reproducibility, and operations transfer.
• Validate performance across common, rare, ambiguous, and clinically significant cases using suitable metrics.
• Collaborate with SMEs to refine labels, interpret feedback, and adjust modeling strategies.
• Support integration into production data pipelines and contribute to stabilization and knowledge transfer.
• Implement training/evaluation pipelines in Databricks with MLflow tracking and reproducible builds.

Skills

Python

ML model development

Data analysis

Feature engineering

Databricks

MLflow

NLP

Tools

Databricks

MLflow

Python

Job description

EPAM Systems, Inc. seeks a Lead Data Scientist / Data Analyst to design and validate scalable ML solutions for health-predisposition insights from high-volume data pipelines. You will oversee deterministic-first modeling, governance, and production transition with strong documentation.

You will lead end-to-end model delivery, collaborate with SMEs, refine labels, and implement training/evaluation pipelines in Databricks with MLflow to ensure reproducibility and robust performance.