Head of Marketing Applied Science & Intelligence

General Motors; Oshawa; On-site; CAD 90,000 - 130,000; Full time

Job summary

General Motors is seeking a highly experienced analytics professional to lead technical teams and drive marketing strategies through data science. This position requires a robust background in statistical modeling, machine learning, and project management. Candidates should possess strong analytical skills along with leadership experience to foster collaboration and innovation within the team. Benefits include comprehensive healthcare and retirement plans, paid time off, and employee vehicle purchase options, making it an appealing opportunity for self-starters in a dynamic environment.

Benefits

Paid time off including vacation days and holidays

Healthcare, dental and vision benefits

Life insurance plans

Defined Contribution Pension plan contributions

GM Vehicle Purchase Plan

Qualifications

• 9+ years of experience in analytics and data science in an enterprise setting.
• Experience leading technical teams and managing projects.
• Deep knowledge around statistical and econometric modeling.

Responsibilities

• Evaluate business problems using analytics and statistical modeling techniques.
• Collaborate with marketing and media teams to align on objectives.
• Train and mentor junior staff and evaluate technical capabilities.

Skills

Data analysis

Statistical modeling

Machine learning

Project management

Interpersonal skills

Agile methodology

Education

Bachelor’s degree in Marketing, Communications, Advertising, or related field

Tools

Python

R

SAS

SQL

Pyspark

AWS

Azure

Job description

Bachelor’s degree in Marketing, Communications, Advertising, Analytics or a related field

9+ years of experience in analytics, data science, or quantitative insights in an enterprise setting.

5+ years working with a marketing / media team on shared objectives.

2+ years of experience successfully leading technical teams or work.

Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics.

Deep knowledge around the proper application of statistical / econometric modeling (hierarchical Bayes, fixed / random effects, survival analysis, latent class modeling, non—random treatment effects, endogeneity correction), univariate and multiple time series analysis (ARIMA, VAR, StateSpace), supervised and unsupervised machine learning models.

Prior experience with at least one of the following methodologies : customer lifetime value, customer loyalty and churn, behavior-based segmentation, causal inference, incrementality modeling, multi-touch attribution, propensity modeling or targeting.

Skilled in multiple programming languages and statistical analyses / machine learning tools (Python, R, SAS, SQL, Pyspark) and extensive experience in Big Data platforms (AWS, S3, Azure / Databricks).

Experience with automotive market research vendor portals (JD Power, IHS Markit, Maritz, Kantar, Numerator, mTab, etc.) is preferred.

Strong drive for results and intellectual curiosity; must be a self-starter.

Ability to train, mentor, and evaluate the technical capabilities of others.

Prior experience evaluating and / or hiring high-performing talent.

Strong project management skills with demonstrated success.

Familiarity with Agile project management and product development.

Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.

Excellent team player with strong interpersonal skills and a highly collaborative work style.

Excellent oral, listening, presentation, and written communication skills.

Benefits :

The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others :

Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.

Healthcare, dental and vision benefits including health care spending account and wellness incentive.

Life insurance plans to cover you and your family.

Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.

GM Vehicle Purchase Plan for you, your family, and friends

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and / or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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