Senior Data Scientist — AI Growth & LLM Strategy

Asana, Inc.; Vancouver; Hybrid; CAD 176,000 - 200,000; Full time

Benefits offered by this job

Mental health benefits

Career coaching

Inclusive family building benefits

Long-term savings plan

In-office culinary options

Job summary

Asana is seeking a Senior Data Scientist in Vancouver to help define growth strategy as users engage via AI interfaces like ChatGPT and Claude. You’ll join the AI organization, leveraging experimentation, causal inference, and ML to shape the product roadmap and user value.

You’ll work with product managers, engineers, and researchers to drive engagement, design experiments, and own key metrics. This role emphasizes velocity, quality, and impactful analytics.

Qualifications

• 4–6 years of data science experience in growth-focused B2B SaaS.
• Experience with AI/ML products and LLM APIs or integrations.
• Strong SQL and relational data modeling skills.
• Proficiency in Python (and/or R/Scala) for data processing.

Responsibilities

• Collaborate with PMs, UXR, and engineers to understand user needs and identify levers for engagement.
• Act as data lead for AI features, shaping product direction with data.
• Use experimentation and data storytelling to guide roadmap decisions.
• Design experiments to measure product progress and track KPIs.
• Share best practices and collaborate with other data scientists to raise standards.
• Contribute to a high-velocity, quality-focused AI-enabled product team.

Skills

Data science

Growth analytics

Experimentation

A/B testing

Cross-functional leadership

AI/ML products

SQL

Python

R/Scala

LLM integrations

Tools

SQL

Python

R

Scala

LLM APIs

Job description

Asana is seeking a Senior Data Scientist in Vancouver to help define growth strategy as users engage via AI interfaces like ChatGPT and Claude. You’ll join the AI organization, leveraging experimentation, causal inference, and ML to shape the product roadmap and user value.

You’ll work with product managers, engineers, and researchers to drive engagement, design experiments, and own key metrics. This role emphasizes velocity, quality, and impactful analytics.