Data Scientist, Marketing Applied Science

General Motors
Olympia, WA, United States
$75K-$119.8K a year
Full-time
We are sorry. The job offer you are looking for is no longer available.

Job DescriptionThis 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 minimumThis 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 fieldProficient 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 DescriptionCompensation : 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#LI-HF1About 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.

Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

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.

Equal Employment Opportunity StatementsGM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

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

As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics.

For purposes of this policy, protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.

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

Accommodations@GM.com 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.

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.

Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and 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 at Careers.

Accommodations@GM.com .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.

8 days ago
Related jobs
Mediabistro
Olympia, Washington

Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field. The Data Scientist is knowledgeable in methodology and practice of marketing analytics. This person will work closely wit...

Mediabistro
Olympia, Washington

The Data Scientist for the Marketing Applied Science Team is an internal expert on methodology and practice of marketing analytics. Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitat...

Promoted
Prime 8 Consulting
WA, United States

Demonstrated experience with data pipelines, data cleansing, data transformations and other analytical techniques for data manipulation. As a Data Analyst on our client’s team, you will build dashboard and analytics solutions using Microsoft’s Power BI. Manipulate and analyze complex, high-volume, h...

Promoted
SynergisticIT
Olympia, Washington

Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please s...

Promoted
Humana
Olympia, Washington

Become a part of our caring community and help us put health firstFor this Senior Data Scientist role, we're looking for someone with data science and machine learning experience who likes the challenge of breaking new ground. The Senior Data Scientist uses mathematics, statistics, modeling, busines...

Promoted
Nelnet
Olympia, Washington

ROLE OVERVIEW:As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models. Our Machine Learning Engineer role is at the core of this transforma...

Promoted
EY
Olympia, Washington

AI/Machine Learning Engineer, Manager ConsultantThe opportunityOur Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. To qualify for the role you must haveBachelor's degree and 6-10 years of full-time working experience in AI, ...

Promoted
Oracle
Olympia, Washington

We are constantly learning and taking opportunities to grow our careers and ourselves. As Software Engineer on our team, we build services and tools to manage model lifecycle, model provenance, model catalog and model training. ...

Promoted
Cardinal Health
Olympia, Washington

The Full Stack Senior Data Scientist is a key role in the transformation of business. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business valu...

Blue Origin
Southgate,WA

Ensure configuration and data management principles meet customer requirements. Provide timely configuration and data management services for engine product teams. Experience with various tools and databases. ...