Senior Data Science Manager

Asana•San Francisco, CA

1d•Hybrid

About The Position

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. As a Data Science Manager, you’ll lead a team of data scientists working across several product teams to drive common goals, such as acquiring new customers. You will partner closely with product, engineering, and design leads to set the strategy and direction for the overall team while mentoring your reports in their technical growth. This role is based in our San Francisco 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.

Requirements

Over 5 years of experience in a comparable data science role, with a proven track record of delivering high-impact insights.
At least 2 years of experience specifically managing a team of data scientists within a product-focused environment.
Skilled at working closely with Product, Engineering, and Design leadership to guide product strategy and drive organizational decision-making.
Extensive track record in data-informed decision making, including defining success metrics, conducting observational inference, and leveraging experimentation to inform direction.
Strong technical background in a quantitative field and fluent in modern languages for statistics or data processing (e.g., Python, R).
Comfortable with ambiguity and enjoy the challenge of balancing rigorous statistical practice with the speed of results.
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

Nice To Haves

Experience with Enterprise SaaS products is a strong plus.

Responsibilities

Manage and lead a team of data scientists partnering with Asana’s product teams.
Partner closely with Product Management, Design, and Engineering leaders to drive high-level strategy.
Implement team practices that empower cross-functional partners to make data-informed decisions, striking a balance between rigorous quantitative methods and speed.
Guide data scientists in their technical and professional development through active mentorship.
Collaborate with recruiting and other data team managers to help grow and scale the organization.
Make hands-on contributions to the team’s work, including designing experiments, building ML models, and answering key questions with data.