Data Scientist III, Growth ML/DS

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 Growth Analytics, you’ll work closely with teams such as, marketing, product, and engineering to create scalable analytics that focuses on crucial cost, revenue, and growth factors that directly drive our business forward on multiple products and services.

This role offers a chance to have a meaningful impact on our business outcomes. This role 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, Data engineering and Content teams to shape growth and enrollment 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 growth initiatives and experiments.
• Proactively discover important trends in key metrics impacting our member growth, distill key insights, present to key executives, and drive meaningful actions.
• Enable marketing stakeholders to understand the performance of our campaigns, experiments, and growth, and to respond quickly where needed.
• Work independently on complex problems from problem scoping and technical decision making to executing, delivering, and disseminating high quality output.
• Leverage a broad set of technical skills and strong business understanding to creatively solve complex problems with strategic impact.

Candidate Profile

• 4+ years’ experience in Data Science, 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.
• Compelling storytelling through analytics and visualization, getting your point across and keeping your audience engaged
• A solid grasp of key SaaS business metrics and drivers
• Experience in creating, maintaining and deploying data pipelines in CI/CD environment is a plus
• 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 independently, 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