Senior Machine Learning Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $150k - $175k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Teladoc Health

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🤝 B2B

👥 B2C

☁️ SaaS

💰 $80M Post-IPO Debt - Teladoc Health on 2016-07

B2B • B2C • SaaS

Teladoc Health is a telehealth company that connects patients with care providers through a virtual care platform offering 24/7 urgent care, primary care, mental health (therapy and psychiatry), chronic condition management (diabetes, hypertension, weight management), specialty consultations, and wellness services. It serves individuals directly and partners with employers, health plans, hospitals and health systems to deliver integrated virtual care solutions and technology at scale.

📋 Description

• Partner with Product, Engineering, Clinical, Operations, Marketing, and Data Engineering to design, build, deploy, and operate scalable machine learning and AI systems. • Own the end-to-end machine learning lifecycle: data and feature engineering through deployment, monitoring, experimentation, and continuous improvement. • Build production ready time series models to predict real time KPIs and optimize decision actions for clinical operations business optimization. • Propose, evaluate and interpret results for clinical, product and business decision-makers and own outcomes. • Collaborate closely with peers and stakeholders to 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 and machine learning pipelines following best practices. • Ensure robust model lifecycle management through model versioning, MLflow, automated testing, CI/CD, and production monitoring. • Build and optimize scalable Spark and Databricks workloads, leveraging distributed computing best practices for large-scale data processing and real-time inference. • Monitor production models and data pipelines for data quality, feature drift, concept drift, latency, reliability, and business performance, proactively identifying and resolving issues.

🎯 Requirements

• 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. • Demonstrated depth of experience developing clean, robust, and reusable production-quality code using Python, Spark, and SQL. • 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.

🏖️ Benefits

• Flexible Vacation Policy • 80 hours of Paid Sick, Safe, and Caregiver Leave annually • Performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026