Teladoc Health is looking to empower client-facing teams with tools that enhance and reinforce its value proposition, drive growth and client retention, and provide a better way for members to manage chronic health conditions by discovering and sharing insights about members and clients to drive decision making.
Requirements
- R or Python with data science libraries
- SQL and data science libraries
- Templating, developing, deploying, and maintaining production grade data processing and pipelines through data cleaning and data management
- Generating insights through in-depth quantitative and statistical analysis for client and health data
- Developing dashboards and reports to share compelling storytelling through visualizations and metrics
- Jenkins
- AWS Tech stack (Redshift, S3)
Responsibilities
- Work with cutting-edge data processing frameworks, technologies, and platforms to empower client-facing teams with the tools that enhance and reinforce Teladoc Health's value proposition.
- Discover and share insights about members and clients to drive decision making.
- Work with SQL, Python, R, Jenkins, AWS Tech stack (Redshift, S3), Metabase and other technologies to design and build scalable and impactful reports, dashboards, and visualizations.
- Facilitate complex, rapidly changing, high-volume data science needs with efficient data pipelines.
- Build automation tools, data pipelines that help us deliver quality reports on time for a multitude of requests.
- Influence upstream system/design, definitions and develop scalable solutions to meet expectations from internal/external stakeholders.
- Run ad-hoc data-extracts for requests from diverse partners and automate those needs over time.
Other
- Bachelor’s degree, or foreign equivalent, in Computer Science, or a related field.
- Plus 2 years of experience as a Data Scientist, Data Analyst, or other occupation involving data analysis within the healthcare industry.
- Strong time management skills to handle tight deadlines and maintain open communications with partners.
- Engage with Product, Business, Engineering, and Marketing teams to understand the needs, capture requirements and be the liaison between analytics and business.
- Engage with partners, internal and external stakeholders to ensure timely delivery of programs in a fast-paced environment.
