Description
The Role:
The Marketing Scientist is knowledgeable in methodology and practice of marketing analytics with an emphasis on inferential and prescriptive methods. This individual has experience with measurement and Media Mix Modeling (MMM), including advanced econometrics and statistical methods used to qualify media impacts. This person also has knowledge in the economics of media channels (i.e., TV, Display, Paid Search, Paid Social, Programmatic, etc.) and measurement of Return On Advertising Spend (ROAS) lift.
This person will work closely with teammates in Marketing Applied Sciences and stakeholders in GM’s vehicle brands to ensure objective performance evaluation and optimization of audience activation to drive sales. The Scientist will assist in the research and development of advanced marketing models, drawing insights and creating scalable products that identify channel and tactic level opportunities with high return on investment. The Scientist will be part of a team focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs.
What You’ll Do:
- Work on a diverse, cross-functional team (technical and non-technical) to help implement high-impact, data-driven solutions to address business challenges in the vehicle brand marketing teams, ensuring that project deliverables fulfill business needs and timing.
- Possess contextual business knowledge and functional domain expertise in the advertising and media space as well as familiarity with marketing media measurement techniques including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms.
- Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: preprocessing multisource data; performing exploratory and targeted data analyses; monitoring as well as sustaining model effectiveness; and presenting complex information using data visualization techniques.
- Demonstrate an ability for using data, analytics, and insights to add revenue and business-impacting value.
- Exhibit a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact.
- Effectively communicate through telling a succinct, data-driven story in any forum, tailoring delivery to a wide range of stakeholder levels from analyst to senior executive.
Required Qualifications:
- Undergraduate degree in a quantitative field and 2 or more years of work experience.
- Expertise with fundamental statistical concepts and considerations for selecting an appropriate modeling technique.
- Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages.
- Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.
Preferred Qualifications:
- Master’s Degree or Ph.D. in Marketing Science, Econometrics, Statistics, Psychometrics, (Bio)Statistics, Applied Mathematics, Operations Research, or another quantitative field.
- Prior experience on an (preferably marketing) analytics team.
- Familiarity with marketing analytics and advanced methods such as: customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression.
[Additional Description]
This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View]you are expected to report to that location three times a week, at minimum.
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
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Diversity Information
General Motors is committed to being a workplace that is not only free from unlawful discrimination, but also a place that truly promotes inclusion and belonging. We believe that workforce diversity 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 skills required for each role and apply for any position that fits them. As part of the recruitment process, candidates may be required, where applicable, to successfully complete a job-related assessment or job screening before being hired. To find out more, view our recruitment process.
Equal Employment Opportunity Statement (US)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, ethnicity, disability or disability status. protected veteran status.
Facilities (US and Canada)
General Motors offers opportunities to all job seekers, including people with disabilities. If you need a reasonable accommodation to assist with your job search or application submission, email us at [email protected] or call us at 800 865-7580 . Please include in your email a specific description of the type of accommodation requested, as well as the job title and requisition number of the position you are applying for.
