Staff Data Scientist, Marketing Applied Sciences

able 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.

What You'll Do

• 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

• 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 to drive consumer demand/high value behaviors and long-term customer engagement.

• 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.

• 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.

Your Skills & Abilities (Required Qualifications)

• Minimum seven years of experience developing, deploying, and monitoring performance of statistical, AI, and/or machine learning based models.

• 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

• Desired expertise in marketing analytics and advanced methods such as: Generalized Linear Models, panel data, mixed effects with Bayesian techniques, also classification and regression trees and simple regressions

• Prior experience with paid, earned, and owned media

• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality

Additional Description

This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI, you are expected to report to that location three times a week, at minimum

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.

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.

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About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Diversity Information

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire

Equal Employment Opportunity Statement (U.S.)

General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Accommodations (U.S. and Canada)

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.