Agent Data Scientist

The role

You will work directly with customers to define and operationalize performance metrics. You will also build product features and frameworks to empower the rest of the organization and improve metrics through experimentation.

What you will do

• Work directly with customers to define and operationalize performance metrics.
• Own the delivery of metrics to reinforce narratives with customers.
• Improve key metrics by diagnosing drivers and designing experiments.
• Scope and build product features, tools, and frameworks.
• Define success for new initiatives with no precedent.
• Run feedback loops into Product, Engineering, and Research.

Required qualifications

• 5+ years in data science, analytics, or another quantitative role driving end to end analyses.
• Exceptional judgment when interpreting metrics.
• Comfort in fast-moving, ambiguous situations.
• Strong independence to set own priorities and operate with little direction.
• Ability to bring stakeholders to a shared definition of success.
• Fluency in SQL and Python.
• Comfort working with large volumes of messy, unstructured conversational data.

Nice to have

• A history of building internal tooling that gained meaningful adoption.
• Experience working on AI products in production, including evaluating LLM or agent behavior and building evaluations.

Benefits

• Medical, Dental, and Vision benefits for you and your family
• Life Insurance and Disability Benefits
• Retirement Plan (e.g., 401K, pension)
• Parental Leave
• Fertility and family building benefits through Carrot
• Monthly stipend to support your wellness, lifestyle, and work-life balance
• Daily lunches and snacks in the office
• Take what you need vacation policy

About the company

Decagon is a conversational AI platform that enables enterprises to deploy AI agents across various channels. The company is an in-office organization driven by values like Just Get It Done and The Polymath Principle.