Asana is a leading platform for human + AI collaboration, relied upon by millions of teams worldwide to achieve their goals faster. Asana has consistently been recognized as a Fortune Best Workplace for over 7 years and celebrated by Fast Company, Forbes, and Gartner for its excellence in workplace culture and innovation. We offer an exceptional office-centric culture that integrates the best aspects of hybrid work models, ensuring seamless collaboration among our global team members. With over 13 international offices, we seek individuals passionate about building technology that drives positive change and contributing to an inclusive culture.

About the Position

Introduction

Asana's Data Science team is crucial in driving data-driven product and business strategies. As a Staff Data Scientist on the Marketing Data Science team, you will be the lead technical expert, responsible for designing and building scalable, state-of-the-art solutions to enhance Asana’s marketing effectiveness. You will develop the technical roadmap for data science, collaborate with marketing leadership, and the broader Asana data community to identify new opportunities. This role involves providing technical leadership and hands-on mentorship, raising the team's technical standards, and influencing overall business strategy through best-in-class modeling and experimental design.

This role is based in our San Francisco office with a hybrid schedule (Monday, Tuesday, and Thursday in-office; Wednesday remote; Friday dependent on work type).

Responsibilities

Architect, design, and lead the technical execution of the Marketing Data Science roadmap, serving as the Solution Architect for core projects including Media Mix Modeling (MMM), User Lifetime Value, Causal Inferences, Multi-touch Attribution, and Spend Optimization engines.
Act as the primary technical subject matter expert for the Marketing Data Science team, setting technical standards for modeling quality, code rigor, data pipeline architecture, and solution scalability.
Collaborate with marketing leadership to integrate data science further into Asana's business approach.
Provide hands-on technical mentorship and guidance to data scientists at all levels, helping them navigate complex modeling challenges, choose appropriate methodologies, and establish robust MLOps.
Develop and standardize MLOps tooling and processes for efficient and reliable deployment, monitoring, and maintenance of multiple production models.
Research, prototype, and advocate for emerging capabilities and state-of-the-art models in marketing data science, demonstrating their potential benefits and leading their implementation.
Take a technical leadership role within the broader Asana Data Community, influencing data and MLOps infrastructure alongside Data Engineering and Platform teams to support marketing data products.

Requirements

Bachelor's Degree in Math, Statistics, Computer Science, Engineering, a related quantitative field, or equivalent experience.
6+ years of experience in a data science role, with 2+ years dedicated to technical leadership and mentorship, successfully driving the architecture and execution of large-scale production data science projects.
4+ years of experience collaborating with Marketing functions on deep technical projects, with extensive experience designing, implementing, and deploying marketing models (e.g., MMM, LTV, MTA, Uplift).
Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques relevant to marketing effectiveness.
Proven track record developing, deploying, and maintaining scalable production ML solutions and data products.
Technical Stack: Expert proficiency in SQL and Python.

Nice to Have

Experience with MLOps tools (e.g., MLFlow).
Experience with statistical languages (e.g., R).
Experience with distributed data processing systems (e.g., Spark, Redshift).
Curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

Benefits

Our comprehensive compensation package recognizes your impact and reflects the market value of your role. We conduct a yearly pay equity audit to ensure fair pay.

Benefits include: