General Motors - Raleigh, NC

posted 5 months ago

Full-time - Mid Level
Remote - Raleigh, NC
Transportation Equipment Manufacturing

About the position

The Data Scientist for the Marketing Applied Science Team is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in measurement methods and media mix modeling, including advanced econometrics and statistical methods used to qualify media impacts and integration of 1P/3P data sources. They also have expertise in the economics of media channels (i.e., TV, Display, Paid Search, Paid Social, Programmatic, etc), measurement of ROAS lift, and coordination of tactics through sequencing and frequency caps. This person will work closely with stakeholders in GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, objective performance evaluation, and optimization of audience activation that drive sales. They will be responsible for developing advanced marketing models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Our team is focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs. In this role, you will 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. You will apply advanced data-driven modeling techniques to inform decision making and solve complex business problems, creating breakthrough solutions, performing exploratory and targeted data analyses, and undertaking preprocessing of structured and unstructured data. Monitoring and sustaining model effectiveness will be key, as will presenting complex information using data visualization techniques. You will work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing. Identifying long-term technical innovations while continuously improving execution efficiency will be part of your responsibilities. You will need to possess 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 via audience selection and behavioral engagement. Deep knowledge of marketing media measurement techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms will be essential. You will also need to exhibit a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact, as well as 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. Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff will be crucial.

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.
  • Identify long-term technical innovations while continuously improving execution efficiency.
  • Possess contextual business knowledge and functional domain expertise in the advertising and media space.
  • Exhibit a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact.
  • Exhibit the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels.
  • Ensure a superior level of delivery quality at all levels of their organization 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 writing Python/R (modeling) and SQL/Spark (data), working with 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 at once without sacrificing quality.

Nice-to-haves

  • Desired 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 (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard/survival models, structural equation modeling, item response theory, latent class regression.

Benefits

  • Medical, dental, vision insurance
  • 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
  • Company vehicle provided upon successful completion of a Motor Vehicle Report review
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