Retail Marketing Attribution

Please refer to the How to Apply for a Job (for External Candidates)  job aid for instructions on how to apply.

If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).

Position Summary:

In this position, you will work on Marketing Mix Modeling (MMM), which is statistical analysis - such as multivariate regressions on sales and marketing time series data – used to estimate the impact of various marketing tactics (marketing mix) on sales.

 

This position is part-time and offers a unique opportunity to play a pivotal role in analyzing marketing effectiveness and guiding strategic advertising decisions through advanced statistical modeling techniques. The ideal candidate will have a strong background in time series modeling, machine learning, regression analysis, and data visualization. Experience or interest in the retail industry is highly desirable. 

Responsibilities: 
- Develop and implement sophisticated time series models (e.g., ARIMA models) to analyze marketing performance and forecast future trends. 
- Utilize machine learning algorithms to uncover insights from complex datasets and optimize marketing spend allocation. 
- Conduct multivariate regression analysis to understand the impact of various marketing channels on sales and customer behavior. 
- Used optimization algorithms to optimize marketing mix and ad spend. 
- Generate synthetic datasets for testing and validation purposes, ensuring the accuracy and reliability of modeling results. 
- Create compelling visualizations to communicate findings and recommendations to stakeholders effectively. 
- Conduct independent research to apply best practices in marketing analytics. 

Qualifications:

Bachelor's or master's degree in a quantitative field such as Statistics, Mathematics, Economics, or Data Science. 
- Proven experience in marketing analytics, with a focus on MMM and statistical modeling techniques. 
- Proficiency in programming languages such as Python or R for data analysis and modeling. 
- Strong analytical skills with a deep understanding of statistical concepts and methodologies. 
- Ability to work independently and as part of a small team in a fast-paced environment. 
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. 
- Experience in the retail industry is a plus. 

Hourly Salary:

$20.00

Hours per Week:

3 (Part time)

Location:

Bronfman Building

Supervisor:

Datalab - Lab Manager

Position Start Date:

2024-04-01

Position End Date:

2024-12-30

Deadline to Apply:

This position is covered by the Association of McGill University Research Employees (AMURE) collective agreement.

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, [email protected] .