Data Scientist III

Teladoc Health•New York, NY

1d•$172,994 - $219,400•Remote

About The Position

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we’re transforming how better health happens. Teladoc Health Inc. seeks Data Scientist III (Multiple Openings) at its facility located at 155 E 44th Street, 17th Floor, New York, NY 10017.

Requirements

Bachelor’s degree or foreign equivalent in Data Science, Business Administration, Actuarial Science or a related field and 5 years of experience as a Data Scientist, Software Engineer or in an occupation involving SaaS or consumer companies.
Employment experience with: End-to-end design, development, orchestration, and deployment of Artificial Intelligence models using MLOps tools (Git and containerization) to power business critical decisions while meeting regulatory requirements.
Employment experience with: Building predictive models and causal inference models using Python and Pyspark to predict user behavior and provide actionable strategies to manage user lifecycle.
Employment experience with: Development of comprehensive analytics solutions using Tableau and Grafana (Business Intelligence tools) to translate complex data into compelling data stories and actionable business strategies.
Employment experience with: Designing, orchestrating, and evaluating statistical experiments (hypothesis testing and A/B testing) to measure impact of AI models and identify causal relationships.
Employment experience with: SQL and NoSQL programming combined with distributed computing framework to engineer scalable data pipelines and build proprietary data assets.
Alternatively, a master’s degree or foreign equivalent in Data Science, Business Administration, Actuarial Science or a related field and 3 years of experience as Data Scientist, Software Engineer or in an occupation involving SaaS or consumer companies.
Employment experience with: End-to-end design, development, orchestration, and deployment of Artificial Intelligence models using MLOps tools (Git and containerization) to power business critical decisions while meeting regulatory requirements.
Employment experience with: Building predictive models and causal inference models using Python and Pyspark to predict user behavior and provide actionable strategies to manage user lifecycle.
Employment experience with: Development of comprehensive analytics solutions using Tableau and Grafana (Business Intelligence tools) to translate complex data into compelling data stories and actionable business strategies.
Employment experience with: Designing, orchestrating, and evaluating statistical experiments (hypothesis testing and A/B testing) to measure impact of AI models and identify causal relationships.
Employment experience with: SQL and NoSQL programming combined with distributed computing framework to engineer scalable data pipelines and build proprietary data assets.

Responsibilities

Resolve and assess wide range of issues in creative ways and suggest variations in approach.
Devise solutions based on limited information and precedents and adapt existing approaches to resolve issues.
Work independently and review at critical points.
Support detailed analyses, modelling, and forecasting for key operational areas ranging from marketing to finance to clinical operations and impact rapidly growing business.
Collaborate closely with cross-functional stakeholders, scope and solve problems faced, and help decision-makers on the team form educated, practical strategies and recommendations.
Proactively discover important trends in key metrics impacting business, distill key insights, present to key executives, and drive meaningful actions.
Leverage a broad set of technical skills and strong business understanding to creatively solve complex problems with strategic impact.
Provide insights about products and member experience to inform Product and Marketing teams for roadmap and feature decisions.
Build model pipelines and data models that enable actionable visualizations and insights to business stakeholders.
Demonstrate solid communication and stakeholder management skills and deliver complex projects in time.