Vice President Of Data Science

Best Doctors Purchase , NY 10577

Posted 3 months ago

Mission to Our Employees:

Teladoc Health is the global virtual care leader, offering the only comprehensive virtual care solution spanning telehealth, expert medical, and licensed platform services. Teladoc Health serves the world's leading insurers, employers, and health systems and helps millions of people around the world resolve their healthcare needs with confidence. We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Teladoc Health. Above all, Employees will be provided the same concern, respect, values and caring attitude within the organization that they are expected to share with our clients.

What we are looking for:

The Vice President of Data Science is a leadership role responsible for the development and ongoing operation of the company's tools, technologies, and technical solutions leveraging data science, advanced analytics, machine learning and other algorithms. In addition, the VP is responsible for ongoing strategic advancement of the company's data science capabilities.

What you will do:

  • Partner with senior business, product, and engineering leaders to develop strategic goals and direction needed to continuously enhance the company's technology platforms.

  • Be a technical leader for the data science team, helping institute best engineering practices (coding standards, automated testing, scalability) and growing the technical capabilities of the team.

  • Ensure data best practices and play a critical role in building a data-driven culture throughout the entire organization

  • Partner with the technology leadership team to create a long-term vision and develop a roadmap of data science projects

  • Conceive, develop, implement, and continually improve machine learning projects

  • Leverage skills, experience and creativity to apply data science to tackle interesting and challenging problems.

  • Develop new capabilities to deliver business solutions applying data science algorithms

  • Build and lead a high-performing team of data scientists, helping to enhance their skills, while creating a fun and engaging culture that helps them prosper.

  • Foster career growth and provide thoughtful mentorship to develop employees at varying levels of experience. Establish a clear vision and mission for the data science department.

  • Work with cross-functional partners and executives in product, engineering, operations, finance, and marketing to define and achieve business goals, and to build data-informed business strategy and roadmaps.

  • Determine how to leverage data science, machine learning, and other analytical techniques to improve product features and capabilities. Provider leadership on how to leverage data and data expertise to improve the customer experience.

  • Develop analytical frameworks, models, roadmaps, and metrics for the team and broader organization.

  • Serve as a champion for data science and informed decision-making at all levels of the company. Make analytical techniques approachable and understandable to non-data scientists.

  • Lead the end-to-end planning and execution of all data analytics and sciences initiatives.

Requirements:

  • Partner with senior business, product, and engineering leaders to develop strategic goals and direction needed to continuously enhance the company's technology platforms.

  • Be a technical leader for the data science team, helping institute best engineering practices (coding standards, automated testing, scalability) and growing the technical capabilities of the team.

  • Ensure data best practices and play a critical role in building a data-driven culture throughout the entire organization

  • Partner with the technology leadership team to create a long-term vision and develop a roadmap of data science projects

  • Conceive, develop, implement, and continually improve machine learning projects

  • Leverage skills, experience and creativity to apply data science to tackle interesting and challenging problems.

  • Develop new capabilities to deliver business solutions applying data science algorithms

  • Build and lead a high-performing team of data scientists, helping to enhance their skills, while creating a fun and engaging culture that helps them prosper.

  • Foster career growth and provide thoughtful mentorship to develop employees at varying levels of experience. Establish a clear vision and mission for the data science department.

  • Work with cross-functional partners and executives in product, engineering, operations, finance, and marketing to define and achieve business goals, and to build data-informed business strategy and roadmaps.

  • Determine how to leverage data science, machine learning, and other analytical techniques to improve product features and capabilities. Provider leadership on how to leverage data and data expertise to improve the customer experience.

  • Develop analytical frameworks, models, roadmaps, and metrics for the team and broader organization.

  • Serve as a champion for data science and informed decision-making at all levels of the company. Make analytical techniques approachable and understandable to non-data scientists.

  • Lead the end-to-end planning and execution of all data analytics and sciences initiatives.

Company Benefits:

  • Very competitive salary & equity compensation.

  • Excellent health, dental, vision coverage.

  • 401k benefits with employer matching contribution; immediately vested.

  • Awesome people to work with.

  • Becoming a part of a movement in telemedicine and building something that matters.

For a more detailed look at our company and values, visit our website at https://teladochealth.com/en/about/

At Teladoc Health we thrive on difference and individuality. Teladoc Health is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.


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Vice President Of Data Science

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