Senior Data Scientist, CRM
General Motors
AzureCloudNumpyPandasPythonPyTorchScikit-LearnSparkSQLTensorflow
Senior Data Scientist, Digital
General Motors
full-time
Posted on:
Location Type: Hybrid
Location: Mountain View • California, Missouri, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $125,000 - $205,100 per year
Job Level
Senior
Tech Stack
AzureCloudNumpyPandasPythonPyTorchScikit-LearnSparkSQLTensorflow
About the role
- Work on Marketing Applied Sciences team to develop analytics-driven solutions to help GM Marketing Organizations achieve their business goals
- Drive solution design, development, and deployment of analytic models in support of marketing strategies
- Research and develop advanced marketing models, draw insights, and create scalable products across owned & paid channels
- Work closely with teammates in Marketing Applied Sciences and stakeholders in GM’s Marketing organization to ensure objective performance evaluation and optimization of media strategy
- Apply inferential and prescriptive methods with emphasis on website, email, and media measurement
- Possess contextual business knowledge and functional domain expertise in the advertising and media space
- Apply advanced data-driven modeling techniques: preprocessing multisource data and presenting complex information using data visualization techniques
- Demonstrate ability for using data, analytics, and insights to drive business impact and suggest experimentation to drive incremental impact
- Effectively communicate succinct, data-driven stories tailored to stakeholders from analyst to senior executive
- If living within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], report to that location three times a week, at minimum
Requirements
- BA/BS in Marketing, Business, Statistics, Computer Science, Economics, or related field
- 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 site/clickstream measurement, A/B testing, and various industry measurement media platforms
- Expertise with fundamental statistical concepts and considerations for selecting an appropriate modeling technique
- Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages
- Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
- GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.
- (Preferred) Master’s Degree or Ph.D. in Marketing Science, Econometrics, Statistics, Psychometrics, (Bio)Statistics, Applied Mathematics, Operations Research, or another quantitative field
- (Preferred) Experience with cloud compute platforms such as Azure with Databricks experience being especially valuable
- (Preferred) 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
- (Preferred) Prior experience with paid, earned, and owned media and/or marketing analytics
Benefits
- GM offers a variety of health and wellbeing benefit programs
- Medical
- Dental
- Vision
- 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
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysismachine learningstatistical modelingA/B testingdata visualizationPythonRSQLSparkPandas
Soft skills
communicationprioritizationproject managementcollaborationanalytical thinking
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