Senior Data Scientist Marketing Mix Modeling (MMM)

Overview

Remote
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

SQL
Python
data science
retail
MMM
Marketing mix modeling

Job Details

Job Title: Senior Data Scientist Marketing Mix Modeling (MMM)

Type: Contract
Work Hours: Must work in PST time zone
Location: Remote (Canada)

Role Overview

We are hiring two Senior Data Scientists with strong hands-on experience in Marketing Mix Modeling (MMM). The ideal candidate will have deep statistical expertise, solid Python and SQL skills, and the ability to translate modeling insights into business strategy. Experience working with large-scale retail or CPG marketing data is preferred.

Key Responsibilities

  • Build, validate, and interpret MMM models to quantify channel effectiveness
  • Develop actionable insights and present optimization recommendations to stakeholders
  • Integrate internal and external data sources into unified MMM datasets
  • Use Python for modeling and SQL for data extraction and transformation
  • Collaborate closely with marketing, finance, and analytics teams

Required Qualifications

  • 5 7+ years of experience in data science or marketing analytics
  • Minimum 2 years of deep, hands-on MMM experience (Bayesian or Frequentist preferred)
  • Proficient in Python (pandas, statsmodels, PyMC3 or similar)
  • Strong SQL skills for querying and transforming large datasets
  • Excellent communication and visualization skills to explain technical insights to business users
  • Retail/media/CPG experience highly desirable

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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