Senior Machine Learning Scientist

Summary Of Position

The Machine Learning effort is part of the Data Science team at Teladoc Health. In this role, you will partner with Product, Engineering, Clinical, Operations, Marketing and Data Engineering to design, build, deploy, and operate scalable machine learning and AI systems that power business-critical decision making.

Essential Duties And Responsibilities

• Build production ready time series models to predict real time KPIs as well as build optimal decision actions to manage the provider network for clinical operations business optimization
• Propose, evaluate and interpret the results of your work for clinical, product and business decision-makers and own outcomes
• Collaborate closely with peers and stakeholders to discover and distill requirements of problem definitions, product features and architecture to improve clinical outcomes using insights and models
• Develop modular, well-tested, production-quality software using Python, Spark and SQL to build scalable data engineering, feature engineering, machine learning and AI pipelines following software engineering best practices
• Design, develop, deploy and operate scalable production machine learning and AI systems, including data transformation pipelines, feature pipelines, model training, evaluation, deployment, monitoring, retraining, and experiment tracking. Ensure robust model lifecycle management through model versioning, MLflow, automated testing, CI/CD, and production monitoring
• Monitor production models and data pipelines for data quality, feature drift, concept drift, latency, reliability, and business performance, proactively identifying and resolving issues

Qualifications

• 8+ years of experience as a Machine Learning Scientist, Data Scientist or in a similar role within SaaS or consumer technology companies
• A Master’s degree or higher in computer science, operations research, machine learning, information systems, engineering, or a related field
• Extensive experience designing, building and operating production machine learning systems, including scalable software, distributed data processing, reusable feature engineering pipelines, model deployment, monitoring and continuous improvement
• Strong understanding of statistical modeling, machine learning algorithms, experimentation, model evaluation, forecasting, and explainability techniques, with the ability to select appropriate approaches based on business and technical constraints
• Excellent data analysis skills and bias to deliver, measure and iterate using experimentation and statistical analysis
• Strong system design skills with the ability to architect scalable, maintainable, and observable machine learning solutions
• Ability to translate machine learning solutions into measurable business outcomes and effectively communicate technical decisions, tradeoffs, and expected value to both technical and business stakeholders

Bonus Qualifications

• Hands-on experience with modern data and ML platforms such as Databricks, MLflow, Delta Lake, Airflow, Terraform, or equivalent cloud-native technologies
• Experience building AI-powered applications using Large Language Models (LLMs), embeddings, vector databases, retrieval-augmented generation (RAG), agentic workflows, or equivalent AI technologies is highly desirable
• Experience applying machine learning, forecasting, optimization, or decision science techniques to large-scale operational, logistics, marketplace, or network optimization problems
• Experience working with healthcare data (e.g., claims or EHR) is a plus
• Great active listening skills to infer product/business needs and underlying context
• Ability to collaborate effectively with peers, and respect for member privacy

Pay

The base salary range for this position is $150,000 - $175,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.

Schedule

This position is eligible for a flexible vacation policy, and paid sick, safe, and caregiver leave.

Benefits

Teladoc Health offers a comprehensive benefits package including paid time off, health insurance, retirement plans, and more. Details can be found in the provided document.

Company Culture

Teladoc Health is committed to fostering a diverse and inclusive workplace. We celebrate each colleague's unique perspective and focus on continuously improving each and every day. Join a community that empowers you to grow, lead, and make a difference. Explore candidate resources and learn more about our company culture.

EEO Statement

We are an equal opportunity employer and do not discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy.