Data Scientist II/III, Client Analytics

Key Skills

Python Programming, SQL, Cloud computing

Job Description

Come build the data and analytics tools that will help real people live measurably better lives. As a key part of our client analytics team, you’ll 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. Your contributions will drive growth and client retention, while providing a better way for Teladoc Health members to manage chronic health conditions.

You’ll work with SQL, R, Python, Tableau and other technologies to deliver impactful analyses, dashboards and visualizations. Collaborating closely with data scientists, engineers, PMs and clinical researchers, you’ll help us transform the healthcare industry with innovative, highly-effective products.

Responsibilities

• Partner with sales and customer-success teams to accelerate Teladoc Health’s growth with new commercial prospects as well as existing clients
• Analyze trends, develop insights and visualizations to win new business and retain clients Proactively develop dashboards, documentation and train customer success on how to optimally use and talk about the data
• Collaborate closely with other analysts, data scientists, engineers, PMs and clinical researchers on product builds, analytical tools, data quality, metric definition and analytical rigor

Candidate Profile

• Strong experience with SQL and either R or Python. Expected to write good quality, maintainable code and create engineering practices within the team that support both exploratory analyses and scalable, maintainable code based on project needs
• Strong critical thinking. Knowing what questions to ask and how interpret loose direction on analytical projects
• Compelling storytelling through visualizations and data, getting your point across and keeping your audience engaged
• Healthy curiosity. Willingness to learn new platforms and tools, as well as propose and help teams adopt new tools. Interest in relevant innovation in academic and industry trends and improving data quality and analytic rigor
• Good prioritization instincts and ability to manage concurrent projects. Active listener, driven to build a world-class analytics organization in a rapidly scaling, high-growth company
• BS degree in a quantitative field with 2 years+ experience in a data science role.

The base salary range for this position is $95,000-110,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2022. Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable for all full-time positions.