Vice President, Data Science
Five9 Inc - United States (Remote)
Posted Dec 23, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Vice President, Data Science United States (Remote) Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. As Vice President of Data Science, you will lead and grow our in-house data science team. This team is responsible for research, experimentation, data collection and curation, and data analysis that contributes to the performance of Five9's AI products. Tasks include evaluation of and selection of AI agent architectural frameworks, evaluation and comparison of LLM models across commercial and open source choices, model fine-tuning for dedicated tasks, prompt engineering, prompt structure and design, and composite model definitions and evaluations. The scale of Five9 provides a wealth of data that data science team has access to. The data science team is very much applied - their work directly makes its way into real products providing direct customer benefit. As lead of this team, you will take complete ownership of the technical and operational direction of the organization, including growing to team to meet increased demand for its capabilities. Key Responsibilities: - Technical Direction Setting: As an expert in the leading edge of AI and data science, you will direct the team on the methodologies, practices, algorithms, experiments and processes
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