Marketing Data Scientist - MMM & Attribution Lead

dentsuaegis; United States; Hybrid; USD 113,000 - 170,000; Full time

Benefits offered by this job

Medical, vision, and dental insurance

Life insurance

Disability insurance (short/long-term)

401k

Flexible PTO

15 paid holidays

Job summary

Dentsu is seeking a Marketing Data Scientist to lead Marketing Mix Models from data strategy through delivery and ongoing optimization. You will build MMM frameworks using Bayesian and Frequentist methods, mentor junior modelers, and collaborate with data engineering and analytics teams to translate business questions into robust measurement solutions.

The role is hybrid with U.S. hub office days and remote options as needed.

Qualifications

• Significant hands-on experience building MMM models from scratch.
• Deep expertise in Bayesian and Frequentist MMM techniques.
• Proven track record managing 10+ MMM engagements across clients.
• Strong foundation in statistical modeling, attribution, forecasting.

Responsibilities

• Lead end-to-end development of advanced Marketing Mix Models from data strategy through delivery.
• Build, validate, and improve MMM frameworks using Bayesian and Frequentist methods.
• Manage multiple MMM engagements across a diverse client portfolio.
• Partner with media, data engineering, and analytics teams to translate business objectives into measurement strategies.
• Deliver insights to optimize media and marketing investments across channels.
• Mentor junior modelers and provide project guidance and quality control.

Skills

MMM Modeling

Bayesian methods

Frequentist methods

Databricks

Mentorship

Project management

Statistical reasoning

Tools

Databricks

Job description

Dentsu is seeking a Marketing Data Scientist to lead Marketing Mix Models from data strategy through delivery and ongoing optimization. You will build MMM frameworks using Bayesian and Frequentist methods, mentor junior modelers, and collaborate with data engineering and analytics teams to translate business questions into robust measurement solutions.

The role is hybrid with U.S. hub office days and remote options as needed.