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Modeling • oakland ca
- Promoted
Machine Learning Engineer - Marketing Mix Modeling
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- New!
Financial Planning and Analysis (FP&A) Analyst, Modeling
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Form EnergyBerkeley, CA, United StatesMachine Learning Engineer - Marketing Mix Modeling
Adobe Inc.San Francisco, CA, United States- Full-time
Our Company
Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
This role is part of Adobe's Global Marketing Organization (GMO), specifically within the Growth Marketing and Insights organization (GMI). We are seeking a highly experienced Machine Learning Engineer to design, develop, and deploy advanced causal Marketing Mix Models (MMM) for Adobe's global businesses.
These models are crucial for guiding Adobe's quarterly and yearly marketing budget decisions and generating insights that drive business growth. The primary goal of this role will be to build foundationally solid models that can be refreshed frequently in the production environment. This role will collaborate with cross-functional teams, including analytics, marketing execution, and engineering.
What you'll do
- Develop both descriptive and predictive MMMs that accurately measure the incremental impact of marketing and non-marketing drivers
- Expand our modeling solutions to support a growing number of geographic locations and product groups
- Integrate additional measurement methodologies and data to ensure accurate measurement of marketing return on investment
- Balance technical capabilities with practical business needs
- Measure both short- and long-term impact of marketing to guide budget allocation across funnel stages to drive sustainable business growth
- Communicate model results effectively to partners and executives
- Continuously improve modeling techniques and capabilities as the analytical landscape evolves
- Contribute to the overall growth of the team!
Requirements
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least 12 : 01 AM Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
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