Responsibilities

The Marketing Science Measurement team is responsible for interpreting the performance of advertising on our platform. We work with advertisers to optimise their activity on the platform and build meaningful connections that help drive behavior change.

The Measurement Partner will engage with one of our key global accounts, Amazon, to help measure the effectiveness of their investment in our platform. In addition, this role will partner with key cross-functional teams such as sales, product marketing, measurement product, and business marketing to ensure that clients and agencies have best-in-class support. We seek a highly-driven, empathetic person who is looking to build our Marketing Sciences discipline where execution, curiosity, and data-driven thinking in a fast-growth environment to make others better will be critical for success. This role can be based in Los Angeles, Seattle, or New York.

We seek a motivated and empathetic individual with strong analytical skills, aiming to develop our Marketing Science discipline. Success in this role within a rapidly expanding environment depends on execution, curiosity, and a commitment to data-driven thinking, while giving priority to the empowerment of others.

• Partner with clients and agencies to develop and execute measurement learning agendas that lead to a better understanding of their performance on the platform.
• Advise stakeholders on the pros and cons of different measurement tools and methodologies based on the goal of a campaign
• Collaborate with cross-functional teams and stakeholders to develop best practices using data and measurement that will improve advertiser business outcomes
• Analyze the results of randomized controlled trials (aka, holdout studies). Leverage advanced measurement methods using clean rooms and privacy-enhancing technologies.
• Conduct meta-analyses of groups of studies to find strategies that can lead to better performance.
• Consult with advertiser side data science and analytics teams on methods and models. Be able to go deep on machine learning and experimentation methods to evaluate and advise different approaches.
• Present campaign and holistic learnings to various internal and external stakeholders.
• Synthesize client and agency feedback to ensure their voice is reflected with our product and partnership teams.

Minimum Qualifications

• Minimum 5+ years of experience with digital advertising or related marketing organizations
• Relevant Bachelor's Degree in a quantitative field
• A track record of inferential problem-solving through experimental design, analytical and data science methods.
• Experience executing custom analytical work using SQL and Python.
• Exposure to digital advertising platforms with an understanding of digital ad formats, auction, and performance drivers.
• Expertise in measurement methods such as experimental design, incrementality, attribution and Marketing Mix Modeling.

Preferred Qualifications

• Graduate degree in economics, statistics, mathematics, operations, business, digital marketing, or research field preferred
• Hands on knowledge of statistical modeling, multi-variate analysis, and machine learning preferred
• Advanced expertise in custom analytical work using SQL and Python preferred
• Experience with clean-rooms based measurement preferred, including writing advanced SQL queries and performing analysis for the purpose of effectiveness testing, targeting, customer insights etc.
• Exposure to privacy enhancing technologies such as differential privacy, multi-party computation, confidential computing etc. a plus.