Staff Data Scientist, Marketing Applied Sciences

$116,100 - $181,600/Yr

General Motors - Carson City, NV

Full-time - Mid Level

Remote - Carson City, NV

Transportation Equipment Manufacturing

About the position

The Data Scientist for the Marketing Applied Science Team at General Motors is a pivotal role that focuses on the methodology and practice of marketing analytics. This position requires a deep technical expertise in measurement methods and media mix modeling, utilizing advanced econometrics and statistical methods to assess media impacts and integrate first-party and third-party data sources. The successful candidate will have a comprehensive understanding of the economics of various media channels, including TV, Display, Paid Search, Paid Social, and Programmatic advertising. They will be responsible for measuring Return on Advertising Spend (ROAS) lift and coordinating marketing tactics through effective sequencing and frequency caps. In this role, the Data Scientist will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team. Their primary objective will be to ensure business acceptance of proposed methodologies, conduct objective performance evaluations, and optimize audience activation strategies that drive sales. The Data Scientist will develop advanced marketing models, extract actionable insights, and create scalable products that identify high-return investment opportunities at both the channel and tactic levels. The team is dedicated to delivering innovative, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile during its transition to electric vehicles (EVs). The position is remote, but candidates residing within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA, or Warren, MI are expected to report to their respective locations at least three times a week. Relocation benefits are not provided, and any associated costs will be the responsibility of the selected candidate.

Responsibilities

• Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across various business units.
• Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems, including exploratory and targeted data analyses.
• Undertake preprocessing of structured and unstructured data and monitor model effectiveness.
• Present complex information using data visualization techniques to diverse technical teams and stakeholders.
• Identify long-term technical innovations while continuously improving execution efficiency.
• Utilize contextual business knowledge and functional domain expertise in advertising and media to drive revenue and business-impacting value through audience selection and behavioral engagement.
• Demonstrate deep knowledge of marketing media measurement techniques, including MMM, MTA, unified attribution, and ROAS level testing.
• Exhibit a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact.
• Tell succinct, data-driven stories tailored to a wide range of stakeholder levels, from analysts to senior executives.
• Ensure a superior level of delivery quality through the creation of internal structures and extensible frameworks to manage accountability and develop staff.

Requirements

• 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.
• Minimum five years of experience developing, deploying, and monitoring performance of statistical, AI, and/or machine learning based models.
• Proficient in Python/R (modeling) and SQL/Spark (data), with experience in Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy, and related packages.
• Prior experience with paid, earned, and owned media, including tools like Adobe Analytics, Google Analytics, Neustar/Transunion, LiveRamp, M1, and more.
• Ability to prioritize and manage multiple tasks and projects simultaneously without sacrificing quality.

Nice-to-haves

• Expertise 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, censored/truncated regressions, selection models, non-random treatment effects, hazard/survival models, structural equation modeling, and item response theory.

Benefits

• Medical, dental, and vision insurance options.
• Health Savings Account and Flexible Spending Accounts.
• Retirement savings plan with company and matching contributions.
• Sickness and accident benefits.
• Life insurance coverage.
• Paid vacation and holidays.
• Tuition assistance programs.
• Employee assistance program.
• GM vehicle discounts.
• A company vehicle provided upon successful completion of a Motor Vehicle Report review.