General Motors · 3 days ago

Staff Data Scientist, Marketing Applied Sciences

United States

Full-time

Remote

Senior Level

$116K/yr - $182K/yr

5+ years exp

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AutomotiveElectric Vehicle

Hiring Manager

Heidi Formella

Insider Connection @General Motors

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

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.

Undertake preprocessing of structured and unstructured data, monitor and sustain model effectiveness, and present complex information using data visualization techniques.

Work with technical teams to ensure project deliverables fulfill business needs and timing, identify long-term technical innovations, and continuously improve execution efficiency.

Possess contextual business knowledge and functional domain expertise in the advertising and media space.

Deep knowledge of marketing media measurement techniques, and ability to tell a succinct, data-driven story in any forum.

Ensure delivery quality at all levels of the organization through the creation of internal structures and frameworks to manage accountability and develop staff.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonRSQLSparkPandasStatsModelsPYMCTensorFlowPytorchSklearnNumpyAdobe AnalyticsGoogle AnalyticsNeustar/TransunionLiveRampMachine LearningStatistical ModelingData MonitoringMedia AnalysisProject ManagementProblem-SolvingTime ManagementMarketing AnalyticsCustomer Lifetime ValueMedia Mix ModelingMulti-Touch AttributionConsumer ChoiceTime-Series ForecastingHierarchical BayesPanel-Data Methods

Required

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.

Preferred

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.