Senior Machine Learning Scientist
Core
Design, build, deploy, and operate scalable machine learning and AI systems to power business-critical decision making and improve member/provider experience on the Teladoc Health platform.
Role type
Senior Machine Learning Scientist (Production Systems)
Builds
Production-ready time series models, optimal decision actions for provider network management, and scalable ML/AI pipelines for clinical operations.
Domain
Telehealth / Healthcare Operations / Machine Learning
Deliverable
production ML models
Required skills
Time series modeling, Python, Apache Spark, SQL, statistical modeling, machine learning algorithms, model evaluation, forecasting, explainability, system design, distributed computing, LLMs, RAG, agentic workflows, CI/CD, MLflow, automated testing, production monitoring, feature drift detection, concept drift detection.
Preferred skills
Databricks, Delta Lake, Airflow, Terraform, vector databases, embeddings, healthcare data (claims/EHR), optimization, decision science.
Technologies
Python, Spark, SQL, MLflow, Databricks, Delta Lake, Airflow, Terraform, LLMs, RAG
Responsibilities
Build production-ready time series models to predict real-time KPIs and manage provider networks; develop modular, production-quality software for scalable ML pipelines; design, deploy, and operate scalable ML systems including data transformation and feature pipelines; monitor production models and pipelines for data quality, drift, latency, and reliability; propose, evaluate, and interpret results for clinical, product, and business decision-makers; collaborate with stakeholders to define requirements and improve clinical outcomes using insights and models.
Seniority
Senior, hands-on IC