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Data Scientist

Pay
CAD 176,000–200,000/year · BaseAnnual period assumed — pay source
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.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Find user segments and levers for engagement with PMs, UXR and engineers

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

  • Use data analysis and storytelling to find key roadmap opportunities

  • Design experiments and own key performance metrics

  • Share data science best practices across teams

From the employer’s posting
Work closely with Product Managers, User Researchers (UXR), and Engineers to understand the needs of our agentic work management customers
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

What you’ll bring

All qualifications

Core experience

  • 4-6 years of data science experience, with majority in growth-focused roles at B2B SaaS companies
  • Experience with AI/ML products, LLM APIs, or third-party platform integrations.
  • Familiarity with statistical methods including experimental design, regression, causal inference
Qualification wording
4-6 years of data science experience, with majority in growth-focused roles at B2B SaaS companies
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.
Familiarity with statistical methods including experimental design, regression, causal inference

About Asana

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.

In the employer’s words · Read in context

Apply at Asana

Posting record

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Status in our records
Live
First seen by us
Oct 15, 202626 days ago
Recorded sightings
38
Last seen by us
Nov 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 26

Similar jobs usually come down between day 8 and day 59.

From 11,368 similar postings that came down. Coming down is not always a hire.

Asana is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Its jobs tend to stay up a long time
  • 25% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • Scala
  • SQL
Where the posting names them
- 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

Your next step

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About Asana

People
About 1,767 in 2026, down 3% from the year before.Annual report (SEC Form 10-K)
Company
Listed as ASAN.
H-1B visas
12 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 6% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,126.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

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Pay
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.
Location & working pattern

Vancouver, BC

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
More source context
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

More relevant text appears in the full description.

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