Staff Data Scientist

Asana Asana · Enterprise · Vancouver, BC · Product Data

Staff Data Scientist at Asana to define growth strategy leveraging LLM interfaces and AI-driven channels for user acquisition and onboarding. Focus on PLG, experimentation, and influencing user adoption in the AI-era.

What you'd actually do

  1. Work closely with Product Managers and User Researchers (UXR) to understand the needs of our new customers in their first few minutes of interaction with Asana, employing data frameworks and methodologies to understand our user segments, visualize the new user funnel, identify levers for driving conversion revenue, and personalize the onboarding journey to ensure better adoption outcomes.
  2. Act as the "Data Lead" in a triad with Product and Engineering stakeholders to identify multi-year growth opportunities and prioritize the roadmap.
  3. Design experiments that measure product progress, and own key performance metrics.
  4. Collaborate and mentor fellow Data Scientists in the team to research, identify and disseminate best practices across teams.
  5. Work in a high-performance, dynamic team with a strong focus on velocity and software quality and learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana’s value proposition.

Skills

Required

  • 5-7 years of data science experience, with majority in growth-focused roles at B2B SaaS companies
  • Proven track record driving acquisition and activation for B2B SaaS products, with specific experience in top-of-funnel growth and new user acquisition.
  • 0→1 builder mentality.
  • Experience with AI/ML products, LLM APIs, or third-party platform integrations.
  • Strong analytical foundation with deep fluency in experimentation, A/B testing, and funnel optimization.
  • Exceptional cross-functional leadership.
  • Strategic business acumen
  • Expert in relational data modeling and SQL
  • fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala).
  • Familiarity with statistical methods including experimental design, regression, causal inference with observational data and time series modeling.

Nice to have

  • Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms.
  • Genuine AI enthusiasm.
  • Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

What the JD emphasized

  • define Asana's growth strategy
  • drive Asana's acquisition playbook
  • re-imagine new customer onboarding
  • define success metrics
  • identify new ways to deliver user value
  • understand the needs of our new customers
  • identify multi-year growth opportunities
  • prioritize the roadmap
  • measure product progress
  • disseminate best practices
  • AI-Optimization
  • LLM APIs
  • conversational AI
  • built features integrating ChatGPT, Claude, or similar platforms
  • experimentation, A/B testing, and funnel optimization
  • cross-functional leadership
  • influence across product, engineering, design, partnerships, sales, and executive stakeholders
  • translating emerging technology trends into actionable product strategy
  • how LLMs are transforming software discovery and adoption

Other signals

  • LLM interfaces
  • AI-driven channels
  • AI-era onboarding
  • AI-Optimization
  • LLM APIs
  • conversational AI
  • ChatGPT, Claude, or similar platforms
  • AI tools