Data Scientist, Marketing Applied Science

Mountain View, CA, United States

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 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 Job 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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Benefits Overview

The 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.

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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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