Staff Data Scientist
We're looking for a Staff Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how product
What this role actually needs.
We're looking for a Staff Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how product Requirements: - 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. - Act as the "Data Lead" in a triad with Product and Engineering stakeholders to identify multi-year growth opportunities and prioritize the roadmap. - Design experiments that measure product progress, and own key performance metrics. - Collaborate and mentor fellow Data Scientists in the team to research, identify and disseminate best practices across teams. - 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. - 5-7 years of data science experience, with majority in growth-focused roles at B2B SaaS companies Benefits: - Mental health, wellness & fitness benefits - Career coaching & support - Inclusive family building benefits - Long-term savings or retirement plans - In-office culinary options to cater to your dietary preferences Company context: Asana is the public work-management platform used by enterprise teams across product, marketing, and operations.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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.
- Act as the "Data Lead" in a triad with Product and Engineering stakeholders to identify multi-year growth opportunities and prioritize the roadmap.
- Design experiments that measure product progress, and own key performance metrics.
- Collaborate and mentor fellow Data Scientists in the team to research, identify and disseminate best practices across teams.
- 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.
- 5-7 years of data science experience, with majority in growth-focused roles at B2B SaaS companies
Why people would want this job
Asana published these compensation, benefits, or working-context details with the role.
- Mental health, wellness & fitness benefits
- Career coaching & support
- Inclusive family building benefits
- Long-term savings or retirement plans
- In-office culinary options to cater to your dietary preferences
Why this listing is more than a copied job post.
Staff Data Scientist is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
Canada tech market
Canada roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.
Compensation read
The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.
Work authorization read
Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in Vancouver should be compared against commute, local salary bands, and nearby employer demand.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to staff data scientist is a high-signal on-site role in vancouver, and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
Keywords to match against your background
Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.
Apply through the employer source
Open the source listing from asana.com, confirm the role is still active, then apply on the employer or ATS page.
Source: asana.com · Source ID: 7839309 · Confidence: 88/100 · Last checked: May 7, 2026
How UpJobz verifies job sourcesContinue browsing tech jobs