Staff Data Scientist, Marketing Applied Sciences

Job 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 for the Marketing Applied Science Team is an internal expert on methodology and  practice of marketing analytics. This individual has deep technical expertise in measurement methods  and media mix modeling, including advanced econometrics and statistical methods used to qualify media  impacts and integration of 1P/3P data sources. They also have expertise in the economics of media  channels (i.e., TV, Display, Paid Search, Paid Social, Programmatic, etc), measurement of ROAS lift, and  coordination of tactics through sequencing and frequency caps.   
   
This person will work closely with stakeholders in GM’s vehicle brands and the Performance Driven  Marketing team to ensure business acceptance of proposed methods, objective performance evaluation,  and optimization of audience activation that drive sales. They will be responsible for developing advanced marketing models, drawing insights, and creating scalable 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 and behavioral engagement. 
• Deep knowledge of 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. 
• 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):

• 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. 
• Minimum five years of experience developing, deploying, and monitoring performance of statistical, AI, and/or machine learning based models. 
• Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. 
• Prior experience with paid, earned, and owned media, including tools like Adobe Analytics, Google Analytics, Neustar/Transunion, LiveRamp, M1 and more.
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality. 

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

• Desired expertise 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