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Data Scientist

  • [Location]
    • Austin, Texas
    • Roswell, Georgia
    • Warren, Michigan
  • 日程 Full time
  • 发表

描述

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.

Your Skills & Abilities (Required Qualifications):

  • 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
  • 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

What Will Give You a Competitive Edge (Preferred Qualifications):

  • 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 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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Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés.  Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi.  Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant. 

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse Careers.Accommodations@GM.com ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.