Marketing Mix Modeling Specialist, Large Customer Sales

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Info For Applicants:

For Singapore Applicants:
Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

For Bangkok Applicants:
Google will be prioritizing applicants who have valid working rights in Thailand and do not require Google’s sponsorship of a visa.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Singapore; Jakarta, Indonesia; Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia; Bangkok, Thailand; Ho Chi Minh City, Vietnam.

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
• Experience with programming languages such as Python or R for data analysis and modeling.

Preferred Qualifications:

• Master's degree in Statistics, Econometrics, Data Science, Mathematics, or a related quantitative field.
• Experience with various MMM techniques (e.g. Bayesian MMM, time series regression, Machine learning).
• Experience in developing and implementing MMMs in a business environment, with understanding of statistical modeling techniques, including regression analysis, time series analysis, and causal inference.
• Understanding of the digital advertising and measurement ecosystem (e.g. attribution, experiments, data clean rooms, server-side API).
• Excellent communication skills, with the ability to present complex information to senior and C-level stakeholders.

About the Job:

As a Marketing Mix Modeling (MMM) Specialist at Google, you will play a pivotal role in empowering our clients to optimize their marketing investments through advanced statistical modeling and data-driven insights. You will be a trusted advisor, guiding clients through complex MMM analyses, translating technical findings into business strategies, and influencing executive-level decision-making. You will be responsible for driving the adoption of measurement methodologies and fostering a culture of data-driven marketing within Google and our client ecosystem.

Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We're uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google's broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.

Responsibilities:

• Lead Marketing Mix Modeling (MMM) Modeling and Analysis by consulting on MMM models using Python, R, or other statistical tools. Conduct analysis of marketing data to identify key drivers of performance and provide recommendations. Guide customers through modelling discussions, explaining statistical concepts to both technical and non-technical audiences.
• Serve as a consultant to clients, advising on measurement strategies and best practices. Build and maintain relationships with key stakeholders, including marketing executives and agency partners.
• Collaborate with sales, product, and customer teams to drive momentum on MMM conversations and unblock where needed. Partner with cross-functional teams to develop and implement new measurement methodologies and tools.
• Identify opportunities to improve Google's MMM capabilities and drive innovation in the field. Advocate for the adoption of advanced measurement techniques within the industry.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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