Description
T his role is based remotely but if you live within a 50-mile radius of Warren, MI or Austin, TX, you are expected to report to that location three times a week, at minimum
The Role:
The Applied Analytics & Insights (Digital, Customer & Growth Businesses) team is focused on execution-based analytics to help GM organizations achieve better business outcomes through contextualized solutions with targeted actions. The individual will work as a member of a multi-disciplinary team of various experience levels that frame opportunities, wrangle the necessary data, and design and execute analytical models in support of better business decisions. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company's most critical business areas. The Staff Data Scientist will work closely with marketing teams on problems related to incrementality, measurement and experimentation.
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

Your Skills & Abilities (Qualifications):

• Minimum five 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: 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
• Prior experience with paid, earned, and owned media
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
• Strong listening and communications skills; ability to explain technical concepts to non-technical audiences
• Highly collaborative work style
• Ability to evaluate the big picture and provide meaningful business insights and actions

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 $116,100 - $181,600. 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.

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.