Remote Causal Inference Jobs in New York, NY (NOW HIRING)

Join the team leading the next evolution of virtual care.

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.

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.

RATE OF PAY: $172,994.00 - $219,400.00 per year

Applicants who are interested in this position should apply by emailing resume to recruiting@teladoc.com Reference Job Code: 10172156_2026 or via https://www.teladochealth.com/careers/ and search for Data Scientist III

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

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.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.