Staff Data Scientist

1w1 week ago

Asana

Vancouver, CA · Full-time · C$211,000 – C$240,000

About this role

We're looking for a Staff Data Scientist to define Asana's growth strategy as users discover software through LLM interfaces like ChatGPT, Claude, and Gemini. Millions of knowledge workers start their day in conversational AI tools, creating an inflection point for productivity software. You'll drive the acquisition playbook for LLM-driven channels and re-imagine customer onboarding in the AI era.

As part of the PLG organization, you'll leverage data to influence how new users discover, learn about, and decide to use and pay for Asana. The Data Science team informs strategy, defines success metrics, and identifies ways to deliver user value through experimentation, causal inference, and machine learning. Data scientists deepen customer understanding and drive business outcomes via data storytelling.

This role is based in Vancouver with an office-centric hybrid schedule, including in-office days on Monday, Tuesday, and Thursday. Most team members can work from home on Wednesdays, with Fridays depending on work type and team partnerships. Your recruiter will share more about in-office requirements during interviews.

Work closely with Product Managers and User Researchers to understand new customer needs in their first interactions. Act as Data Lead in triads with Product and Engineering to identify growth opportunities. Join a high-performance team focused on velocity, software quality, and emerging AI-Optimization with LLMs.

Requirements

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 experience in top-of-funnel growth and new user acquisition
0→1 builder mentality, thriving in ambiguous environments inventing new playbooks
Experience with AI/ML products, LLM APIs, or third-party platform integrations, especially conversational AI like ChatGPT or Claude
Strong analytical foundation with fluency in experimentation, A/B testing, and funnel optimization
Exceptional cross-functional leadership to influence product, engineering, design, sales, and executives
Strategic business acumen balancing user experience with revenue objectives and translating tech trends into strategy
Expert in relational data modeling and SQL, fluent in at least one modern language for data processing

Responsibilities

Work closely with Product Managers and User Researchers to understand new customer needs, visualize user funnels, identify conversion levers, and personalize onboarding journeys
Act as the Data Lead in triads with Product and Engineering stakeholders to identify multi-year growth opportunities and prioritize roadmaps
Design experiments that measure product progress and own key performance metrics
Collaborate and mentor fellow Data Scientists to research, identify, and disseminate best practices across teams
Employ data frameworks and methodologies to understand user segments and drive better adoption outcomes
Leverage experimentation, causal inference, statistical and machine learning techniques for growth strategy