At a Glance
- Tasks: Shape AI growth strategy through experimentation and machine learning.
- Company: Join Asana, a leader in work management solutions.
- Benefits: Hybrid work model, competitive salary, and professional development opportunities.
- Other info: Dynamic team culture with opportunities for career advancement.
- Why this job: Make an impact on AI products and drive innovation in a collaborative environment.
- Qualifications: 4-6 years of data science experience with a focus on B2B SaaS.
The predicted salary is between 135000 - 165000 $ per year.
Shape Asana’s AI growth strategy in Vancouver through experimentation, causal inference, and machine learning. Work office-centric hybrid on Monday, Tuesday, and Thursday. As a Senior Data Scientist, you will inform strategy for agentic work management products. Partner with Product Managers, User Researchers, and Engineers to understand customer segments and engagement levers. Use data storytelling, experimentation, and statistical methods to guide product decisions.
Key Responsibilities:
- Define data frameworks for agentic work management customers
- Lead data strategy for specific AI features
- Identify roadmap opportunities through analysis and storytelling
- Design experiments and own key performance metrics
- Share data science best practices across teams
Requirements:
- Four to six years of data science experience
- Growth experience, primarily within B2B SaaS companies
- Experience with AI/ML products, LLM APIs, or integrations
- Strong experimentation, A/B testing, and pipeline management skills
- Expertise in SQL, relational modeling, and R, Python, or Scala
Apply senior data science expertise in experimentation, AI products, SQL, and product strategy at Asana Vancouver.
Senior Growth Data Scientist AI in Vancouver employer: Asana
Asana is an exceptional employer that fosters a collaborative and innovative work culture in the vibrant city of Vancouver. With a strong emphasis on employee growth, you will have access to cutting-edge tools and resources, enabling you to lead impactful projects in analytical engineering while contributing to AI-driven solutions. The company values diversity and inclusion, ensuring a supportive environment where your contributions are recognized and rewarded.
