Senior Data Scientist

Decagon Decagon · Vertical AI · San Francisco, CA · Engineering

Decagon is a conversational AI platform company that empowers brands to deliver customer experiences through AI agents. This Senior Data Scientist role focuses on analyzing, testing, and applying data across the business to inform product strategy and company performance. Responsibilities include building datasets and metrics, enhancing data models, partnering with Engineering and Product on experimentation and measurement, building the data stack, and evaluating ML model performance.

What you'd actually do

  1. Build and maintain foundational datasets and metrics that reflect infrastructure usage, system performance, and scaling efficiency across Decagon's AI platform.
  2. Enhance and extend Decagon’s data models, metrics, and dashboards to ensure consistent, scalable reporting across teams.
  3. Partner closely with Engineering to shape strategy through data — surfacing bottlenecks, inefficiencies, and scaling risks before they become problems.
  4. Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles.
  5. Build and continuously improve Decagon’s data stack, ensuring scalable models, pipelines, and tools that empower self-serve analytics across the company.

Skills

Required

  • SQL
  • Python
  • statistics
  • experimental design
  • reason about and analyze machine learning models
  • communication skills
  • influencing stakeholders

Nice to have

  • product analytics
  • consumer or marketplace products
  • operational analytics
  • data and infra engineering

What the JD emphasized

  • AI platform
  • AI agents
  • ML models
  • experimentation
  • data-driven decision making
  • scalable analytical frameworks
  • large-scale backend or infrastructure systems

Other signals

  • AI platform
  • AI agents
  • ML models
  • experimentation