Asana24.04.2026

Staff Data Scientist

Vancouver

Обязанности

  • 01Work closely with Product Managers and User Researchers to understand the needs of new customers in their first few minutes of interaction with Asana
  • 02Employ data frameworks and methodologies to understand user segments, visualize the new user funnel, identify levers for driving conversion revenue, and personalize the onboarding journey
  • 03Act as the 'Data Lead' in a triad with Product and Engineering stakeholders to identify multi-year growth opportunities and prioritize the roadmap
  • 04Design experiments that measure product progress, and own key performance metrics
  • 05Collaborate and mentor fellow Data Scientists in the team to research, identify and disseminate best practices across teams
  • 06Work in a high-performance, dynamic team with a strong focus on velocity and software quality
  • 07Learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana’s value proposition

Требования

  • 015-7 years of data science experience, with majority in growth-focused roles at B2B SaaS companies
  • 02Proven track record driving acquisition and activation for B2B SaaS products, with specific experience in top-of-funnel growth and new user acquisition
  • 030→1 builder mentality with ability to thrive in highly ambiguous environments and invent new playbooks
  • 04Experience with AI/ML products, LLM APIs, or third-party platform integrations
  • 05Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms
  • 06Strong analytical foundation with deep fluency in experimentation, A/B testing, and funnel optimization
  • 07Exceptional cross-functional leadership with ability to write crisply, tell clear stories, and influence across product, engineering, design, partnerships, sales, and executive stakeholders
  • 08Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy
  • 09Genuine AI enthusiasm and curiosity about how LLMs are transforming software discovery and adoption
  • 10Expert in relational data modeling and SQL
  • 11Fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala)
  • 12Familiarity with statistical methods including experimental design, regression, causal inference with observational data and time series modeling
  • 13Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

Условия

  • 01Role is based in Vancouver office with an office-centric hybrid schedule
  • 02Standard in-office days are Monday, Tuesday, and Thursday
  • 03Option to work from home on Wednesdays
  • 04Working from home on Fridays depends on the type of work and teams partnered with
  • 05Estimated base salary range is between CAD 211,000-240,000
  • 06Compensation package may include additional components such as equity, sales incentive pay, and benefits
  • 07Mental health, wellness & fitness benefits
  • 08Career coaching & support
  • 09Inclusive family building benefits
  • 10Long-term savings or retirement plans
  • 11In-office culinary options to cater to dietary preferences