This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI, 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.
The Role:
The Data Scientist is knowledgeable in methodology and practice of marketing analytics. This individual has experience with measurement and media mix modeling, 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 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 that drive sales. The Data Scientist will assist in the development of advanced marketing models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. The Data Scientists 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 cross-functional team to help implement high-impact, data-driven solutions to address business challenges in the vehicle brand marketing teams.
- Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: Performing exploratory and targeted data analyses. Undertake preprocessing of structured data. Monitor and sustain model effectiveness. Present complex information using data visualization techniques.
- Work with diverse technical teams and provide data and analytical insights to ensure project deliverables fulfill business needs and timing.
- Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement.
- Possess familiarity with marketing media measurement techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms.
- Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact.
- Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive.
Your Skills & Abilities (Required Qualifications):
- Master’s Degree or Ph.D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field
- 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.
What Will Give You a Competitive Edge (Preferred Qualifications):
- Desired familiarity in 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.
