Data Scientist III

Teladoc, Inc.
New York, NY, United States
25 days ago
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Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$172,994.0 - $219,400.0
Working hours
Regular working hours

Tech stack

A/B Testing Artificial Intelligence Business Analytics Applications Software as a Service Computer Programming Distributed Systems Statistical Hypothesis Testing Python (Programming Language) NoSQL SQL Databases Tableau (Software) User-Centered Design
+5 more
Grafana Git Pyspark Machine Learning Operations Data Pipelines

Job description

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. Telecommuting: 100% Remote.

Requirements

This position requires a 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. Additionally, the applicant must have employment experience with: (1) 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; (2) Building predictive models and causal inference models using Python and Pyspark to predict user behavior and provide actionable strategies to manage user lifecycle; (3) Development of comprehensive analytics solutions using Tableau and Grafana (Business Intelligence tools) to translate complex data into compelling data stories and actionable business strategies; (4) Designing, orchestrating, and evaluating statistical experiments (hypothesis testing and A/B testing) to measure impact of AI models and identify causal relationships; and (5) SQL and NoSQL programming combined with distributed computing framework to engineer scalable data pipelines and build proprietary data assets.

Alternatively, the employer will accept 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. Additionally, the applicant must have employment experience with: (1) 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; (2) Building predictive models and causal inference models using Python and Pyspark to predict user behavior and provide actionable strategies to manage user lifecycle; (3) Development of comprehensive analytics solutions using Tableau and Grafana (Business Intelligence tools) to translate complex data into compelling data stories and actionable business strategies; (4) Designing, orchestrating, and evaluating statistical experiments (hypothesis testing and A/B testing) to measure impact of AI models and identify causal relationships; and (5) SQL and NoSQL programming combined with distributed computing framework to engineer scalable data pipelines and build proprietary data assets.

About the company

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we’re transforming how better health happens.

Teladoc Health Inc. seeks Data Scientist III (Multiple Openings) at its facility located at 155 E 44th Street, 17th Floor, New York, NY 10017., Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

  • Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.
  • Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.
  • Join a multi-faceted community that celebrates each colleague’s unique perspective and is focused on continually improving, each and every day.
  • Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.
  • Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.
  • Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

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