Five9

Vice President, Data Science

Five9

full-time

Posted on:

Location Type: Hybrid

Location: 🇺🇸 United States

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Salary

💰 $233,000 - $512,000 per year

Job Level

Lead

Tech Stack

CloudOpen SourcePython

About the role

  • Lead and grow the in-house data science team.
  • Responsible for research, experimentation, data collection and curation, and data analysis that contributes to the performance of Five9’s AI products.
  • Evaluate and select AI agent architectural frameworks.
  • Evaluate and compare 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.
  • Take complete ownership of the technical and operational direction of the organization.
  • Grow the team to meet increased demand for its capabilities.

Requirements

  • 12+ years experience in data science or AI applied research, ideally at a best-in-class applied research organization.
  • 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 (e.g., OpenAI, Anthropic, Google, Meta, Mistral), including evaluation, benchmarking, and tradeoff analysis.
  • Proven ability to perform fine-tuning, supervised/unsupervised training, prompt engineering, prompt optimization, and model orchestration for real-world use cases.
  • Experience designing evaluation frameworks, experiment methodologies, and robust model comparison workflows.
  • Expertise in large-scale data collection, labeling, cleaning, and curation pipelines, preferably with conversational or unstructured text data.
  • Familiarity with tools and techniques for data quality assessment, dataset versioning, and data governance.
  • Strong proficiency in statistical analysis, A/B experimentation, causal inference, and performance measurement.
  • Demonstrated success turning data insights into product improvements that drive measurable business outcomes.
  • Ability to work with engineering teams using modern software practices (Python, data platforms, cloud-native environments, APIs, ML Ops tooling).
  • Understanding of production ML systems, deployment patterns, monitoring, and safety/guardrail design.
  • Ability to collaborate effectively with product managers, engineering leaders, UX, and GTM teams to translate business needs into data science strategies.
  • Adept at explaining complex technical concepts to executives, customers, and non-technical stakeholders.
  • Exceptional written and verbal communication skills, including ability to publish thought leadership (papers, blog posts) and present at conferences.
  • Passion for mentoring senior and junior data scientists, fostering technical excellence, and building a culture of experimentation and rigorous thinking.
  • Experience engaging directly with customers to understand their needs, gather feedback, and translate insights into product or model improvements.
  • Ability to define the data science strategy for AI Agents and customer experience products, aligning with corporate priorities and market opportunities.
  • Comfortable being an active contributor—writing code, running experiments, reviewing research—while simultaneously guiding the team’s overall direction.
  • Experience hiring, scaling, and structuring high-performing data science teams across multiple geographies.
  • Ability to build processes for experimentation, model evaluation, data quality management, and continuous delivery of data science innovation into product.
  • Skilled at influencing E-staff and senior leadership, defending technical decisions, shaping product strategy, and representing data science internally and externally.
  • Deep understanding of responsible AI principles, privacy considerations, and model safety, including evaluating risks when operating at enterprise scale.
Benefits
  • Health, dental, and vision coverage, beginning on the first day of employment. Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost. We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching.
  • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching and self-guided mindfulness exercises for all covered employees and their covered dependents.
  • Generous employee stock purchase plan.
  • Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data scienceAI applied researchLLMsagentic architecturestransformersfine-tuningprompt engineeringstatistical analysisA/B experimentationmodel orchestration
Soft skills
collaborationcommunicationmentoringinfluencingleadershipproblem-solvingtechnical excellencecustomer engagementstrategic thinkingfostering experimentation