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# Data Scientist III

- **Company:** Teladoc, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $172,994.0 - $219,400.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Business Analytics Applications, Software as a Service, Computer Programming, Distributed Systems, Statistical Hypothesis Testing, Python (Programming Language), NoSQL, SQL Databases, Tableau (Software), User-Centered Design, Grafana, Git, Pyspark, Machine Learning Operations, Data Pipelines
- **Published:** August 11, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17914839?backUrl=%2Fcareer%2F17914839%2FData-Scientist-Iii-New-York-New-York

## About the Role

This position requires a 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. Additionally, the applicant must have employment experience with: (1) 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; (2) Building predictive models and causal inference models using Python and Pyspark to predict user behavior and provide actionable strategies to manage user lifecycle; (3) Development of comprehensive analytics solutions using Tableau and Grafana (Business Intelligence tools) to translate complex data into compelling data stories and actionable business strategies; (4) Designing, orchestrating, and evaluating statistical experiments
(hypothesis testing and A/B testing) to measure impact of AI models and identify causal relationships; and (5) SQL and NoSQL programming combined with distributed computing framework to engineer scalable data pipelines and build proprietary data assets.

Alternatively, the employer will accept 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. Additionally, the applicant must have employment experience with: (1) 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; (2) Building predictive models and causal inference models using Python and Pyspark to predict user behavior and provide actionable strategies to manage user lifecycle; (3) Development of comprehensive analytics solutions using Tableau and Grafana (Business Intelligence tools) to translate complex data into compelling data stories and actionable business strategies; (4) Designing, orchestrating, and evaluating
statistical experiments (hypothesis testing and A/B testing) to measure impact of AI models and identify causal relationships; and (5) SQL and NoSQL programming combined with distributed computing framework to engineer scalable data pipelines and build proprietary data assets.

## Description

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. Telecommuting: 100% Remote.


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