The Senior Data Scientist role at General Motors (GM) aims to address business challenges across various business units by proposing and implementing high-impact, data-driven solutions, with a focus on marketing analytics, media mix modeling, and optimizing market investment.
Requirements
- Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models
- Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages
- Desired expertise 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, item response theory, latent class regression
- Prior experience with paid, earned, and owned media
- Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
- Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio)Statistics, or another quantitative field
- Experience with data visualization techniques
Responsibilities
- Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units
- Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems
- Create breakthrough solutions, performing exploratory and targeted data analyses
- Undertake preprocessing of structured and unstructured data
- Monitor and sustain model effectiveness
- Present complex information using data visualization techniques
- Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing
Other
- Any relocation costs would be the responsibility of the selected candidate
- GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE
- Must be able to work independently and as part of a team
- Must be able to prioritize and manage multiple tasks and projects at once without sacrificing quality
- Must have excellent communication and presentation skills
