Five9

Helping Companies Bring Joy to CX.

Vice President, Data Science

Vice PresidentVice PresidentFull TimeRemoteTeam 1,001-5,000Since 2001H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

81 days ago

Salary

$233K - $512K / year

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

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. The scale of Five9 provides a wealth of data that the data science team has access to. Their work directly makes its way into real products providing direct customer benefit.

  • Technical Direction Setting: Direct the team on methodologies, practices, algorithms, experiments, and processes.
  • Hands On: Be directly responsible for some technical work in addition to managing the team.
  • Organizational Growth: Grow the team and ensure the right talent is in place to accomplish goals.
  • Collaborator and Spokesperson: Act as an internal and external spokesperson for data science, collaborating with stakeholders across the company.

Qualifications

  • 12+ years experience in data science or AI applied research.
  • Deep expertise in modern AI/ML.
  • Extensive hands-on experience with LLMs, agentic architectures, retrieval-augmented systems, transformers, and composite model pipelines.
  • Strong understanding of commercial and open-source model ecosystems.

Requirements

  • Proven ability to perform fine-tuning, supervised/unsupervised training, prompt engineering, prompt optimization, and model orchestration.
  • Expertise in large-scale data collection, labeling, cleaning, and curation pipelines.
  • Strong proficiency in statistical analysis, A/B experimentation, causal inference, and performance measurement.
  • Ability to work with engineering teams using modern software practices (Python, data platforms, cloud-native environments, APIs, ML Ops tooling).
  • Exceptional written and verbal communication skills.

Benefits

  • Health, dental, and vision coverage, beginning on the first day of employment.
  • Access to an innovative mental health support platform.
  • Generous employee stock purchase plan.
  • Paid Time Off, company paid holidays, paid volunteer hours, and 12 weeks paid parental leave.
  • 401k saving plan with employer matching.

Job Requirements

  • 12+ years experience in data science or AI applied research.
  • Deep expertise in modern AI/ML.
  • Extensive hands-on experience with LLMs, agentic architectures, retrieval-augmented systems, transformers, and composite model pipelines.
  • Strong understanding of commercial and open-source model ecosystems.
  • Proven ability to perform fine-tuning, supervised/unsupervised training, prompt engineering, prompt optimization, and model orchestration.
  • Expertise in large-scale data collection, labeling, cleaning, and curation pipelines.
  • Strong proficiency in statistical analysis, A/B experimentation, causal inference, and performance measurement.
  • Ability to work with engineering teams using modern software practices (Python, data platforms, cloud-native environments, APIs, ML Ops tooling).
  • Exceptional written and verbal communication skills.

Benefits

  • Health, dental, and vision coverage, beginning on the first day of employment.
  • Access to an innovative mental health support platform.
  • Generous employee stock purchase plan.
  • Paid Time Off, company paid holidays, paid volunteer hours, and 12 weeks paid parental leave.
  • 401k saving plan with employer matching.

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