Staff, Data Scientist

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.

Summary of Position

The Staff Data Scientist is a senior individual contributor responsible for leading complex data science initiatives and developing analytics and algorithmic solutions that address high-impact business and healthcare problems.

The role applies advanced data science techniques, including supervised and unsupervised machine learning, statistical inference, causal modeling, and large-scale data analysis. The Staff Data Scientist works across multiple initiatives, provides technical guidance and mentorship to other data scientists, and partners with engineering, product, clinical, and business stakeholders to translate complex problems into effective analytical and machine learning solutions.

Essential Duties and Responsibilities

• Lead complex data science, machine learning and AI  initiatives of significant scope, operating with a high degree of independence.

• Design, develop, and maintain analytics pipelines and algorithmic data products that address complex healthcare and business problems.

• Apply advanced analytical methods, including supervised and unsupervised learning, statistical inference, causal modeling, and other appropriate quantitative techniques, to generate actionable insights.

• Translate ambiguous business, clinical, and product problems into clearly defined analytical and machine learning approaches.

• Provide technical leadership throughout the lifecycle of data science initiatives, from problem formulation and exploratory analysis through model development, validation, implementation, and ongoing improvement.

• Establish and promote data science best practices, including reproducible analysis, appropriate experimental design, version control, peer review, documentation, and sound model-development practices.

• Serve as a technical resource for other data scientists by providing mentorship, coaching, design guidance, and code and model reviews.

• Partner with Data Engineering, ML Engineering, Product, Clinical, and business stakeholders to ensure analytical solutions appropriately address business needs.

• Communicate complex analyses, methodologies, trade-offs, results, and recommendations clearly to technical and non-technical audiences.

• Develop influential presentations and recommendations that enable stakeholders to make data-informed decisions.

• Identify opportunities to improve existing analytical approaches, reusable methodologies, tools, and data science capabilities.

• Manage multiple complex initiatives while keeping stakeholders informed of progress, risks, dependencies, and outcomes.

• Contribute to technical standards and improve the quality, maintainability, and reproducibility of data science work across the broader team.

Supervisory Responsibilities

No

Qualifications Expected for Position

• Bachelor's degree in Computer Science, Engineering, Business Management, or a related field.
• 8+ years of experience experience applying machine learning, statistics, and quantitative methods to solve complex business or healthcare problems.

• Strong experience with data processing and analysis using SQL and distributed data-processing technologies such as Spark.

• Strong programming skills in Python, Scala, R, or equivalent languages used for data science and machine learning.

• Experience designing, developing, evaluating, and communicating machine learning or statistical solutions.

• Demonstrated ability to independently lead complex analytical projects involving multiple stakeholders.

• Strong understanding of machine learning, statistical inference, experimentation, and analytical methodology.

• Ability to communicate technical concepts, results, limitations, and recommendations effectively to technical and non-technical audiences.

• Experience mentoring or providing technical guidance to other data scientists.

• Advanced degree in a STEM field or equivalent experience and expertise.
• Travel: Up to 10%, subject to business needs.

The base salary range for this position is $200,000 - $215,000. 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 2026. 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.

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.