Data Scientist

Asana
Vancouver, Canada
Hybrid

Who this role is best for

A natural match if you have experience building AI/ML products in B2B SaaS environments.

Best fit for

  • Candidates with 4-6 years of B2B SaaS data science experience, especially in growth-focused roles
    — “4-6 years of data science experience, with majority in growth-focused roles at B2B SaaS companies”
  • Individuals who have led AI feature development or integrated LLM platforms like ChatGPT
    — “Experience with AI/ML products, LLM APIs, or third-party platform integrations”
  • Candidates who excel at cross-functional leadership and translating technical insights into business strategy
    — “Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product, engineering, design, partnerships, sales, and executive stakeholders.”

Things to consider

  • Hybrid work arrangement requires in-office presence on three days of the week
    — “The standard in-office days are Monday, Tuesday, and Thursday.”
  • Candidates must be comfortable working in a high-performance, fast-moving team
    — “Work in a high-performance, dynamic team with a strong focus on velocity and software quality”

How to stand out

  • Highlight experience with conversational AI or LLM platform integrations in your resume and interviews
    — “Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms.”
  • Demonstrate your ability to influence product and engineering teams through data storytelling
    — “Use data analysis and data storytelling to identify key product opportunities for the roadmap”
  • Showcase your fluency in SQL and a modern data processing language like Python or R
    — “Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala).”
  • Emphasize your experience with experimentation, A/B testing, and pipeline management
    — “Strong analytical foundation with deep fluency in experimentation, A/B testing, pipeline management”
  • Position yourself as a proactive problem-solver who creates new playbooks in ambiguous situations
    — “0→1 builder mentality. You've demonstrated the ability to thrive independently in ambiguous environments where you're inventing new playbooks rather than executing existing one”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces.
Typical background
4-6 years of data science experience, with majority in growth-focused roles at B2B SaaS companies

Skills & requirements

Required

Data FrameworksMethodologiesUser SegmentsLevers For Driving User EngagementProduct OpportunitiesExperimentsPerformance MetricsAi/ml ProductsLLM ApisThird-party Platform IntegrationsConversational AIChatgptClaudeAi-optimizationLlmsAgentic Work ManagementLLM InterfacesExperimentationCausal InferenceStatistical And Machine Learning Techniques

Preferred

LLM ApisThird-party Platform IntegrationsConversational AIChatgptClaudeAi-optimizationLlmsAgentic Work ManagementLLM Interfaces

Stack & domain

Data ScienceGrowth-focused RolesB2B Saas CompaniesAi/ml ProductsLLM ApisThird-party Platform IntegrationsConversational AIChatgptClaudeGeminiExperimentationA/B TestingPipeline ManagementAi-optimizationLlmsLeadershipCross-functional LeadershipWritingStorytellingInfluenceCuriosityAdaptabilityEnthusiasmFinanceHealthcareTechnology

About the role

Original posting from Asana

Senior Data Scientist

[Data] • [Vancouver, BC]

We're looking for a Senior 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 productivity software reaches users. As part of the AI organization within Asana you'll leverage data to influence how we should build our agentic work management products. 

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.

This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve

Work closely with Product Managers, User Researchers (UXR), and Engineers to understand the needs of our agentic work management customers, employing data frameworks and methodologies to understand our user segments and identify levers for driving user engagement

Act as the data lead for specific AI features at Asana with product and engineering

Use data analysis and data storytelling to identify key product opportunities for the roadmap

Design experiments that measure product progress, and own key performance metrics.

Collaborate with 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.

About you

4-6 years of data science experience, with majority in growth-focused roles at B2B SaaS companies

0→1 builder mentality. You've demonstrated the ability to thrive independently in ambiguous environments where you're inventing new playbooks rather than executing existing one

Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product,engineering, design, partnerships, sales, and executive stakeholders. You bring clarity to ambiguity.

Experience with AI/ML products, LLM APIs, or third-party platform integrations. Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms.

Strong analytical foundation with deep fluency in experimentation, A/B testing, pipeline management

Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy.

Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption. 

Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala).

Familiarity with statistical methods including experimental design, regression, causal inference

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is

why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between CAD 176,000-200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

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

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

About us

Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric

culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment

where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.

About us

Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.

We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Source: Asana careers

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