
5001 - 10000 employees
🏥 Healthcare
👥 B2C
☁️ SaaS
💰 $80M Post-IPO Debt - Teladoc Health on 2016-07
Healthcare • B2C • SaaS
Teladoc Health is a telehealth company that connects patients with care providers through a virtual care platform offering 24/7 urgent care, primary care, mental health (therapy and psychiatry), chronic condition management (diabetes, hypertension, weight management), specialty consultations, and wellness services. It serves individuals directly and partners with employers, health plans, hospitals and health systems to deliver integrated virtual care solutions and technology at scale.
🔥 5 minutes ago
🇺🇸 United States – Remote
💵 $200k - $215k / year
⏰ Full Time
🔴 Lead
📊 Data Scientist
🦅 H1B Visa Sponsor
👻 Ghost score 0%
Where this job comes from
Posted on Teladoc Health's careers page, not through a job board
First seen by Remote Rocketship 5 minutes ago

5001 - 10000 employees
🏥 Healthcare
👥 B2C
☁️ SaaS
💰 $80M Post-IPO Debt - Teladoc Health on 2016-07
Healthcare • B2C • SaaS
Teladoc Health is a telehealth company that connects patients with care providers through a virtual care platform offering 24/7 urgent care, primary care, mental health (therapy and psychiatry), chronic condition management (diabetes, hypertension, weight management), specialty consultations, and wellness services. It serves individuals directly and partners with employers, health plans, hospitals and health systems to deliver integrated virtual care solutions and technology at scale.
• Lead complex data science, machine learning, and AI initiatives of significant scope • Design, develop, and maintain analytics pipelines and algorithmic data products for healthcare and business problems • Apply supervised and unsupervised learning, statistical inference, causal modeling, and other quantitative techniques • Translate ambiguous business, clinical, and product problems into analytical and machine learning approaches • Lead data science initiatives from problem formulation and exploratory analysis through model development, validation, implementation, and improvement • Establish and promote data science best practices, including reproducible analysis, experimental design, version control, peer review, documentation, and model-development practices • Mentor and provide technical guidance, design guidance, and code and model reviews to other data scientists • Partner with Data Engineering, ML Engineering, Product, Clinical, and business stakeholders • Communicate analyses, methodologies, trade-offs, results, and recommendations to technical and non-technical audiences • Develop presentations and recommendations supporting data-informed decisions • Improve analytical approaches, reusable methodologies, tools, and data science capabilities • Manage multiple complex initiatives and communicate progress, risks, dependencies, and outcomes • Contribute to technical standards and improve the quality, maintainability, and reproducibility of data science work
• Bachelor's degree in Computer Science, Engineering, Business Management, or a related field • 8+ years of experience applying machine learning, statistics, and quantitative methods to complex business or healthcare problems • Strong experience with 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 • 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 • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future • Travel up to 10%, subject to business needs
• Performance bonus • Flexible Vacation Policy • 80 hours of Paid Sick, Safe, and Caregiver Leave annually • Benefits program centered around employees and their families • Teladoc Health equipment provided at no charge • Career growth opportunities • Inclusive workplace culture • Professional development and mentorship opportunities
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