Lead Machine Learning Engineer - Marketing Mix Modeling
Lead Machine Learning Engineer - Marketing Mix Modeling
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$ 142700 - 257600
1 Vacancy
Job Description
Our Company
Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.
Were 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 Adobes Global Marketing Organization (GMO) specifically within the Growth Marketing and Insights organization (GMI). We are seeking a highly experienced Lead Machine Learning Engineer to design develop and deploy advanced causal Marketing Mix Models (MMM) for Adobes global businesses. These models are crucial for guiding Adobes 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 crossfunctional teams including analytics marketing and engineering.
What youll Do
- Develop both descriptive and predictive MMMs that accurately measure the incremental impact of marketing and nonmarketing 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 longterm 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
- Collaborate with marketing and analytics leadership to translate business questions into econometric approaches
Required Qualifications
- MS/PhD in Economics Statistics Mathematics Computer Science or a related quantitative field
- 710 years of experience in developing and operationalizing MMM and marketing analytic solutions
- Strong technical expertise in MMM and ML algorithms with the ability to connect model insights to business outcomes
- Experience with experimentation/causal inference methods
- Experience in deploying models from development to production environments
- Proficiency in ML programming languages like Python R etc. and data querying languages (e.g. SQL)
- Experience with cloud platforms for scalable model training and deployment
- Ability to balance practical business needs with technical possibilities
- Strong communication skills able to explain technical terms to business executives
- Ability to build positive working relationships and collaborate in crossfunctional teams
- A curious mind passion and motivation to learn new skills tools and techniques!
At Adobe for sales roles starting salaries are expressed as total target compensation (TTC base commission) and shortterm incentives are in the form of sales commission plans. Nonsales roles starting salaries are expressed as base salary and shortterm incentives are in the form of the Annual Incentive Plan (AIP).
In addition certain roles may be eligible for longterm 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 anEqual Employment Opportunityand 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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Employment Type
Full-Time
