Note: The job is a remote job and is open to candidates in USA. Teladoc Health is transforming virtual care and helping millions of people live healthier lives through innovative health solutions. The Data Scientist III will support analysis, modeling, forecasting, predictive modeling, experimentation, and data pipeline development across marketing, finance, clinical operations, product, and business strategy. The role will collaborate with cross-functional stakeholders and executives to turn complex data into actionable insights and decisions.
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
Skills
- 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
- 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
- Building predictive models and causal inference models using Python and Pyspark to predict user behavior and provide actionable strategies to manage user lifecycle
- Development of comprehensive analytics solutions using Tableau and Grafana (Business Intelligence tools) to translate complex data into compelling data stories and actionable business strategies
- Designing, orchestrating, and evaluating statistical experiments (hypothesis testing and A/B testing) to measure impact of AI models and identify causal relationships
- 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
Benefits
- 100% remote telecommuting
- Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use.
- 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only.
- Meaningful opportunities to grow, lead, and make a difference
- An inclusive benefits program centered around you and your family, with tailored programs that address your unique needs
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