GM Marketing Organizations need analytics-driven solutions to help achieve their business goals, requiring the development, deployment, and optimization of analytic models for marketing strategies, especially in the context of EV transition.
Requirements
- 5+ years of experience as a data Scientist or in a related role, developing, deploying, and monitoring performance of large analytic data sets and machine learning based models
- 2+ years of experience working with CRM, marketing analytics, or lifecycle management.
- Expertise with fundamental statistical concepts and considerations for selecting an appropriate modeling technique.
- Expertise with statistical concepts and methods for campaign measurement, including uplift/net lift modeling, treatment/control designs, and causal inference.
- Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages.
- Experience with cloud compute platforms such as Azure with Databricks experience being especially valuable.
- Familiarity with 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.
Responsibilities
- 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.
- Partner with CRM, Marketing, and Data Science teams to design and execute advanced measurement frameworks that evaluate campaign effectiveness, incremental revenue impact, and consumer engagement across lifecycle stages.
- Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: preprocessing multisource data; and presenting complex information using data visualization techniques.
- Apply advanced modeling and analytics techniques to optimize campaign targeting, channel strategy, and customer journey orchestration.
- Develop, deploy, and monitor performance of large analytic data sets and machine learning based models.
- Design and execute advanced measurement frameworks that evaluate campaign effectiveness, incremental revenue impact, and consumer engagement across lifecycle stages.
- Preprocessing multisource data; and presenting complex information using data visualization techniques.
Other
- This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI or Austin, TX three times per week, at minimum [or other frequency dictated by the business if more than 3 days].
- Possess contextual business knowledge and functional domain expertise in the advertising and media space as well as familiarity with marketing media measurement techniques including site/clickstream measurement, A/B testing, and various industry measurement media platforms.
- Demonstrate an ability for using data, analytics, and insights driving business-impact.
- 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.
- Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.
- GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.
