Senior Data Scientist - Engage Area, Navigation

About Asana's Data Science Team

Asana's Data Science team plays a pivotal role in helping us achieve our mission by informing strategy, defining success metrics, and identifying innovative ways to deliver value to our users. Our data scientists are instrumental in deepening our understanding of customers and driving significant business outcomes through experimentation, causal inference, statistical and machine learning techniques, and data storytelling.

About the Navigation Team

The Navigation team, part of Asana's Growth pillar within the R&D organization, ensures that users can easily find what they need in Asana through core navigational elements, search, teams, and more.

Job Location

This role is based in our Vancouver office with a hybrid office-centric schedule:

• In-office days: Monday, Tuesday, and Thursday
• Work-from-home options: Wednesday (most roles) and Friday (role-dependent)

If you're interviewing for this role, your recruiter will provide more details about in-office requirements.

Key Responsibilities

As a Senior Data Scientist in the Engage Area, you'll achieve the following:

• Design and analyze experiments to ship impactful product changes.
• Define and deploy new success metrics for product teams.
• Create strategic data analyses to inform future product directions.
• Build models to identify product opportunities and enhance company metrics.
• Develop new datasets and experimentation metrics to improve decision-making.
• Collaborate with teams for seamless rollouts of navigational changes.
• Influence product decisions and roadmaps through data-driven insights.
• Mentor junior data scientists to drive business results.

Qualifications

Education and Experience

We’re looking for candidates with:

• Bachelor's degree in Math, Statistics, Economics, Computer Science, Engineering, or related fields (or equivalent experience).
• 4+ years of experience in applying data science techniques to drive product development and decision-making.

Technical Skills

• Solid technical background in statistics, math, computer science, or a quantitative field.
• Fluency in data processing and programming languages (e.g., Python, Scala), relational data modeling, SQL.
• Familiarity with distributed data processing systems (e.g., Spark, Redshift).
• Expertise in statistical methods, experimental design, and analysis.

Soft Skills

• Proficiency in written and verbal communication.
• Ability to collaborate effectively with peers and leaders across various teams.

Why Join Asana?

At Asana, we're dedicated to building a team that reflects diverse backgrounds and perspectives. Even if you don't meet every listed requirement, we encourage you to apply. We recognize contributions through a comprehensive compensation package that includes:

• Estimated base salary range: $176,000 CAD - $224,000 CAD (actual salary based on various factors).
• Additional compensation elements like equity and benefits.
• Mental health, wellness & fitness benefits.
• Career coaching & support.
• Inclusive family building benefits.
• Long-term savings or retirement plans.
• In-office culinary options catering to dietary preferences.

Benefits may vary based on role, country, and local regulations.

About Asana

Asana empowers teams to manage projects from small tasks to strategic initiatives. Trusted by millions globally, Asana helps achieve important goals faster. We have been recognized as one of the Top 10 Best Workplaces for 5 years and hold accolades from Fortune and Glassdoor as one of the Best Places to Work. Our hybrid work culture blends in-person collaboration with flexibility. With over 11 offices worldwide, we are passionate about building technology that drives positive change and fosters a culture of belonging.

Equal Opportunity Employer

We are committed to creating an inclusive environment. Asana provides equal employment opportunities regardless of race, color, religion, age, sex, national origin, disability, genetics, veteran status, sexual orientation, or gender identity. We comply with the San Francisco Fair Chance Ordinance and similar laws in other locations.

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