Data Scientist, Marketing Applied Science

Job DescriptionThe Role : The Marketing Scientist is knowledgeable in methodology and practice of marketing analytics with an emphasis on inferential and prescriptive methods.

This individual has experience with measurement and Media Mix Modeling (MMM), 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 Return On Advertising Spend (ROAS) lift.This person will work closely with teammates in Marketing Applied Sciences and stakeholders in GM’s vehicle brands to ensure objective performance evaluation and optimization of audience activation to drive sales.

The Scientist will assist in the research and development of advanced marketing models, drawing insights and creating scalable products that identify channel and tactic level opportunities with high return on investment.

The Scientist 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 diverse, cross-functional team (technical and non-technical) to help implement high-impact, data-driven solutions to address business challenges in the vehicle brand marketing teams, ensuring that project deliverables fulfill business needs and timing.

Possess contextual business knowledge and functional domain expertise in the advertising and media space as well as familiarity with marketing media measurement techniques including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms.

Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems : preprocessing multisource data;

performing exploratory and targeted data analyses; monitoring as well as sustaining model effectiveness; and presenting complex information using data visualization techniques.

Demonstrate an ability for using data, analytics, and insights to add revenue and business-impacting value.Exhibit a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact.

Effectively communicate through telling a succinct, data-driven story in any forum, tailoring delivery to a wide range of stakeholder levels from analyst to senior executive.

Required Qualifications : Undergraduate degree in a quantitative field and 2 or more years of work experience.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.Preferred Qualifications : Master’s Degree or Ph.

D. in Marketing Science, Econometrics, Statistics, Psychometrics, (Bio)Statistics, Applied Mathematics, Operations Research, or another quantitative field.

Prior experience on an (preferably marketing) analytics team.Familiarity with 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 DescriptionThis role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View , 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.

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.#LI-CC1About GMOur 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 UsWe 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.

Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs.

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Benefits OverviewThe goal of the General Motors total rewards program is to support the health and well-being of you and your family.

Our comprehensive compensation plan incudes, the following benefits, in addition to many others :

• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.Diversity InformationGeneral Motors is committed to being a workplace that is not only free of 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 understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities.

GM is proud to be an equal opportunity employer.We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

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GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals.

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We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave.

Learn more about : Our Company ()Our CultureHow we hire ()Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.

We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.Explore our global location sThe policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity / expression or veteran status.

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If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.

[email protected] .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.