YOUR SKILLS & ABILITIES (REQUIRED QUALIFICATIONS):

• Bachelor’s Degree in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative fieldProficient 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

WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS):

• Master’s Degree in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field
• Desired familiarity 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

ADDITIONAL JOB DESCRIPTION

This role is based remotely but if you live within a 50-mile radius of Warren, MI, Roswell, GA, or Austin, TX, you are expected to report to that location three times a week, at minimum.
This job may be eligible for relocation benefits.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include 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 and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE

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THE ROLE:

The Data Scientist is knowledgeable in methodology and practice of marketing analytics. This individual has experience with measurement and media mix modeling, including advanced econometrics and statistical methods used to qualify media impacts. This person also has knowledge in the economics of media channels (i.e., TV, Display, Paid Search, Paid Social, Programmatic, etc) and measurement of ROAS lift.
This person will work closely with team-mates in Marketing Applied Sciences and stakeholders in GM’s vehicle brands to ensure objective performance evaluation, and optimization of audience activation that drive sales. The Data Scientist will assist in the development of advanced marketing models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. The Data Scientists will be part of a team focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs.

WHAT YOU’LL DO:

• Work on a cross-functional team to help implement high-impact, data-driven solutions to address business challenges in the vehicle brand marketing teams
• Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems:
• Performing exploratory and targeted data analyses
• Undertake preprocessing of structured data
• Monitor and sustain model effectiveness
• Present complex information using data visualization techniques
• Work with diverse technical teams and provide data and analytical insights to ensure project deliverables fulfill business needs and timing
• Possessing 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 in this via audience selection and behavioral engagement.
• Possess familiarity with marketing media measurement techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms.
• Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact.
• Exhibiting 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.