Sr Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Teladoc Health, data is at the heart of our culture of innovation. In your role as a Data Scientist for Engagement and Retention, you’ll work closely with teams such as marketing, product, engineering, and content to create scalable analytics and develop predictive models that optimize our marketing and engagement performance and directly drive our customers’ engagements in all Teladoc Health products and services.

This role offers a chance to have a meaningful impact on our business outcomes, and it will leverage your technical skills and business acumen as you deliver insights that inform Teladoc Health’s most important business decisions. You will collaborate closely with leaders to support strategic cross initiatives that help us keep costs in check, maximize revenue while creating a better healthcare experience for people everywhere.

Responsibilities

• Partner closely with marketing, Product, Engineering and Content teams to shape engagement and retention efforts using effective data science techniques
• Deliver algorithmic solutions, analysis and dashboards to help our marketing and business teams scope, conceptualize, launch and measure various engagement initiatives and experiments.
• Proactively discover important trends in key metrics impacting our customers’ engagement, 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 our products and member experience to inform Product and Marketing teams for roadmap and feature decisions. 

Candidate Summary

• 6+ years’ experience in Data Science, Marketing, Personalization, Business Analytics or a related field with demonstrated track record of delivering value using data and analysis. 
• Strong SQL skills, ability to code in and analyze data with Python (or R), practical experience with BI tools like Tableau 
• Firm understanding of statistical, experimentation and machine learning concepts with strong experience in applying these concepts to solve marketing and business problems. Preferred candidates would have experiences in marketing analytics, recommender systems, causal inference and personalization.
• Compelling storytelling through analytics and visualization, getting your point across and keeping your audience engaged 
• Strong critical thinking, active listening, and communication skills to infer business needs, grasp underlying context, and translate loose direction on analytical projects into concrete solutions
• The ability to drive projects, dealing with complexity, flexibility to respond to dynamic business environment, ability to take constructive feedback and adapt quickly to deliver critical business needs
• A Master’s degree or higher in computer science, statistics, information systems, engineering or a related field