Data Scientist, Marketing

The Data Science team works closely with our product, marketing, customer success, and sales teams; we work to make sure teams are asking the right questions and then find those answers. Our data informs us of the impact we are having on the world, and our team is crucial to architecting and building our data infrastructure. We also design and use data analysis tools that increase our data’s scalability, accuracy, and accessibility. We understand our company’s goals and proactively inform their direction with data so that our product can help more teams do great things.

As a Marketing Data Scientist at Asana, you will partner with our Marketing teams across Growth Marketing, Revenue Marketing, Lifecycle Marketing, Marketing Analytics to acquire, engage, and convert Asana users and customers around the globe at different stages in the funnel. You will develop various skills as a full-stack Data Scientist working on projects end-to-end and build deep domain expertise in the intersection of Data Science and Marketing.  

[after the blog post is published: Blog post that showcases the team’s work]

Typical responsibilities:

• Develop and apply marketing measurement capabilities such as Marketing Mix Modeling (MMM), Geo-based experimentation, Multi-touch Attribution (MTA) to evaluate the performance of our marketing effort. 
• Build and deploy machine learning and statistical models such as Customer Lifetime Value, Lead Scoring, Segmentation, time-series forecasting end to end through scoping, researching, prototyping, and productionizing with tools such as Git, Sagemaker, Airflow. 
• Collaborate with Marketing stakeholders, Marketing Analytics, and other cross-functional partners to identify impactful business questions, conduct deep-dive analysis, and communicate findings and actionable recommendations to audiences at all levels to drive data-driven decisions. 
• Lead a team of Data Scientists in developing and applying measurement approaches. 
• Proactively explore and identify opportunities to improve existing or develop new data science applications that can uplevel Asana marketing effectiveness and efficiency. 

Requirements:

• Bachelor Degree in Computer Science, Math, Statistics, Economics, Engineering, a related quantitative field, or equivalent experience.
• 4+ years of experience in applying data science techniques to drive decision-making or develop technical applications. 
• Fluency in at least one modern language useful for data processing (e.g. Python, Scala) and proficiency with relational data modeling and SQL.
• Deep expertise in statistical methods including experimental design, regression, causal inference with observational data, time series modeling.
• Familiarity with one or more of the machine learning methods such as classification, ranking, clustering.
• Strong ability in translating ambiguous requests into concrete data science work and designing methodological approaches to meet business requirements. 
• Strong ability in managing stakeholders, leading a project end-to-end, communicating complex concepts to diverse audiences, and crafting compelling stories.

It's great, but not required if you have:

• Experience as a Tech Lead or Program Lead scoping and planning projects with stakeholders, and driving technical execution from a team.  
• Experience in marketing data science/analytics and familiarity with one or more of the marketing data science topics such as Marketing Mix Modeling (MMM), Geo-based experimentation, Multi-touch Attribution (MTA), Customer Lifetime Value, Lead Scoring, Segmentation, Ranking and Targeting, Incrementality, Propensity Modeling, Web Analytics. 
• Experience in writing production-quality code in Python/Scala and productionizing machine learning applications with tools such as Git, Sagemaker, Airflow. 
• Familiarity with paid acquisition, Ad-tech, or digital marketing.

• Graduate degree in Computer Science, Math, Statistics, Economics, Marketing Science, Engineering, or a related quantitative field.

About us

At Asana, you’ll do meaningful, purpose-driven work. We’re not just building a product that helps people be more productive—we’re helping teams and organizations reach their goals together. For the past six years, we've been recognized as an award-winning workplace by Fortune and Great Place to Work, Fast Company, Glassdoor, and Inc. Magazine. Our inclusive culture is intentionally built to enable our teams to be creative and make an impact. With offices all over the world, we’re excited to get back to in-person collaboration along with a hybrid schedule for balance and flexibility in life and work. We’re looking for passionate individuals to join us on our journey. Come do great things with us.