Negotiable
Outside
Remote
USA
Summary: The role of Senior Data Scientist focuses on Marketing Mix Modeling (MMM) and requires candidates with extensive experience in statistical analysis, Python, and SQL. The position involves building and interpreting MMM models to provide actionable insights for business strategy, particularly in the retail or CPG sectors. Candidates should be adept at collaborating with various teams and presenting findings to stakeholders. This is a contract position based in Canada, with a requirement to work in the PST time zone.
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
Key Skills:
- 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
Salary (Rate): undetermined
City: undetermined
Country: Canada
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
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