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STAFFWORXS
STAFFWORXS

Adobe Marketing Consultant – MMM

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Marketing strategies
Algorithm
Data analytics
+20

Contract role
7 days ago
Apply now

🌟 We're Hiring: Adobe Marketing Consultant – MMM (Remote) 🌍

Are you a skilled Marketing Mix Modeling (MMM) expert with a strong background in Machine Learning and model deployment? Join our team as an Adobe Marketing Consultant and play a key role in shaping data-driven marketing strategies!

πŸ“ Location: Remote

πŸ•’ Job Type: Contract / Full-Time (as applicable)

πŸ” About the Role:

We're looking for a seasoned professional who has hands-on experience with MMM and machine learning engineeringβ€”someone who can not only build and deploy predictive models but also translate insights into impactful business strategies.

πŸš€ What You’ll Do:

  • Develop descriptive and predictive Marketing Mix Models (MMM) to measure incremental impact of marketing and non-marketing efforts.
  • Scale modeling solutions across multiple geographies and product categories.
  • Integrate diverse data sources and methodologies to enhance marketing ROI measurement.
  • Measure both short-term and long-term marketing impact to guide strategic budget decisions.
  • Effectively communicate insights to stakeholders, including executives.
  • Continuously improve modeling techniques to align with evolving analytical trends.
  • Collaborate cross-functionally and contribute to the growth of the analytics team.

βœ… What We’re Looking For:

  • MS/PhD in Economics, Statistics, Physics, Mathematics, Computer Science, or a related quantitative field.
  • 5–10 years of hands-on experience developing and operationalizing MMM and marketing analytics solutions.
  • Strong foundation in machine learning algorithms and connecting model outputs to business outcomes.
  • Experience with experimentation and causal inference techniques.
  • Proven track record in deploying models into production environments.
  • Proficiency in Python, R, and SQL.
  • Experience with cloud platforms for scalable model training and deployment (e.g., AWS, GCP, Azure).
  • Strong communication skills and the ability to convey complex concepts to non-technical stakeholders.

About STAFFWORXS

πŸ”—Website
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