Data Scientist, Marketing Applied Science

Posted 9 Days Ago
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Austin, TX
Hybrid
75K-120K Annually
3-5 Years Experience
Automotive • Big Data • Information Technology • Robotics • Software • Transportation
The Role
The Data Scientist will work in Marketing Applied Sciences, focusing on methodology and practice of marketing analytics, media mix modeling, and econometrics. They will collaborate with cross-functional teams to implement data-driven solutions and create advanced marketing models to drive sales. The role requires expertise in Python, R, SQL, and Spark.
Summary Generated by Built In

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.
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 teammates 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
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

  • The salary range for this role is $75,000 - $119,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.


Benefits:

  • 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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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.
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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.

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The Company
Austin, TX
130,000 Employees
Hybrid Workplace
Year Founded: 1908

What We Do

GM is focused on advancing an all-electric future that is inclusive and accessible to all. At the heart of this strategy is the Ultium battery platform, which will power everything from mass-market to high-performance vehicles.

We embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Work With Us

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Our “Work Appropriately” philosophy enables our employees have the flexibility to work where they can have the greatest impact to achieve their goals and for their individual success, depending on the nature of their work.

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