Staff Data Scientist, Marketing Applied Sciences Team ID-16020

Job Description

This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.

The Role

The Staff Data Scientist is an internal expert in methodology and leads audience activation modeling efforts, translating complex customer data into actionable marketing strategies and personalized customer experiences through machine learning modeling. This individual possesses deep technical expertise in statistics and machine learning, with a strong focus on their application in marketing targeting.

This individual will collaborate closely with stakeholders from GM's vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, conduct objective performance evaluations, and optimize audience activation to drive sales. You will be responsible for developing advanced marketing models, extracting valuable insights, and creating scalable solutions that identify high-return investment opportunities at the channel and tactic levels. Our team is focused on delivering forward-thinking, consumer-centric, and prescriptive solutions that enable GM to remain proactive and agile as we transition to electric vehicles (EVs).

Other Jobs You May Be Interested In

Remote Data Entry, No Experience, $40/hr, Part-Time
Virtual Assistant, $45/hr, Remote, No Experience, Night Job
Entry-Level Remote Data Entry, $50/hr, Evening Job
Customer Support, No Degree, $40/hr, Remote, Weekend Job
Remote Phone Job, $42/hr, Part-Time, College Student Friendly
Virtual Assistant, $40/hr, Remote, No Degree, Night Job
Part-Time Data Entry, $45/hr, Remote, College Student Friendly
Remote Moderator, No Degree, $50/hr, Evening, Weekend Job
Remote Customer Support, $42/hr, Night Job, No Experience
Live Chat Support, $40/hr, Remote, Entry Level, Part-Time
Virtual Assistant, Remote, $42/hr, Weekend, No Experience
Remote Data Entry, $45/hr, No Degree, Night Shift
Part-Time Customer Support, $40/hr, Remote, College Student
Remote Live Chat, $50/hr, Part-Time, Evening/Night Job
Entry Level Phone Job, $42/hr, Remote, No Degree Required
Weekend Data Entry, $45/hr, Remote, No Experience
Remote Virtual Assistant, $40/hr, Evening, Part-Time Job
Remote Moderator, $42/hr, Part-Time, Weekend, No Degree
Data Entry, $45/hr, Remote, Night Shift, College Student Job
Phone Support, Remote, $50/hr, No Experience, Part-Time
Virtual Assistant, No Experience, $42/hr, Remote, Weekend
Remote Customer Support, $45/hr, Part-Time, College Student
Data Entry, Remote, $40/hr, Night Shift, No Degree
Evening Virtual Assistant, Remote, $45/hr, No Experience
Weekend Customer Support, $42/hr, Remote, College Student
Remote Data Entry, $50/hr, No Experience, Evening/Night Job
Remote Live Chat, $40/hr, Part-Time, No Degree Required
Virtual Assistant, $42/hr, Remote, Weekend, Entry Level
Remote Phone Support, $45/hr, Evening, No Experience Required
Data Entry, No Experience, $50/hr, Remote, College Student
Remote Moderator, $40/hr, Weekend, No Degree, Part-Time
Live Chat Support, Remote, $42/hr, Night Shift, College Student
Phone Job, $50/hr, Remote, No Degree, Part-Time, Weekend
Data Entry, $45/hr, Remote, Evening, No Experience Required
Virtual Assistant, No Experience, $42/hr, Remote, Part-Time
Remote Customer Support, $50/hr, Night Shift, No Degree
Remote Data Entry, $40/hr, College Student Friendly, Part-Time
Live Chat Support, $42/hr, Weekend, Remote, No Degree
Virtual Assistant, Remote, $45/hr, Evening, No Experience
Remote Phone Job, $50/hr, College Student, Night Shift
Remote Moderator, $42/hr, Weekend, No Experience Required
Data Entry, No Degree, $45/hr, Part-Time, Remote Job
Customer Support, $50/hr, Remote, Evening/Night Job, No Degree
Virtual Assistant, $42/hr, Remote, Weekend, No Degree
Remote Live Chat, $45/hr, College Student, No Experience
Remote Data Entry, $40/hr, Part-Time, No Degree Required
Phone Support, $50/hr, Weekend, Remote, No Experience
Virtual Assistant, $42/hr, Evening, Remote, No Degree
Remote Customer Support, $45/hr, No Experience, Part-Time
Data Entry, $50/hr, Night Job, No Degree, Remote
Remote Moderator, $40/hr, College Student Friendly, Part-Time
Virtual Assistant, Remote, $42/hr, Weekend, No Experience
Remote Phone Job, $45/hr, Part-Time, No Degree Required
Customer Support, $50/hr, Night Job, Remote, No Experience
Data Entry, Remote, $42/hr, Evening Job, No Degree
Live Chat Support, $45/hr, Weekend, Remote, College Student
Virtual Assistant, Remote, $50/hr, Part-Time, Night Shift
Data Entry, $40/hr, No Experience, Remote, Weekend Job
Remote Phone Job, $45/hr, No Degree, College Student Friendly
Customer Support, $42/hr, Remote, Evening, No Experience
Virtual Assistant, $50/hr, Weekend, No Degree, Remote
Remote Data Entry, $40/hr, Part-Time, College Student Job
Phone Support, Remote, $42/hr, Evening/Night Shift
Virtual Assistant, No Degree, $45/hr, Remote, Part-Time
Live Chat Support, $50/hr, Remote, No Experience Required
Remote Moderator, $42/hr, College Student, Weekend Job
Data Entry, $45/hr, Remote, Night Job, No Degree
Virtual Assistant, $50/hr, Remote, Part-Time, Evening Job
Remote Customer Support, $42/hr, Weekend, No Experience
Phone Job, $45/hr, Remote, Night Shift, No Degree
Remote Live Chat, $50/hr, College Student, No Experience
Data Entry, $40/hr, Part-Time, Remote, Weekend Job
Virtual Assistant, $42/hr, Remote, No Experience, Evening
Remote Phone Support, $45/hr, Night Job, College Student
Remote Moderator, $50/hr, No Degree, Weekend, Part-Time
Virtual Assistant, $40/hr, Remote, Night Shift, No Experience
Customer Support, $42/hr, Remote, Part-Time, No Degree
Remote Data Entry, $45/hr, Weekend Job, College Student
Phone Support, Remote, $50/hr, No Experience, Night Shift
Virtual Assistant, $42/hr, Evening, Remote, College Student
Live Chat Support, $45/hr, Part-Time, Remote, No Degree
Data Entry, $50/hr, Remote, Evening Job, College Student
Virtual Assistant, $40/hr, Weekend, Remote, No Experience
Remote Phone Job, $42/hr, Night Shift, College Student Friendly
Remote Customer Support, $45/hr, No Degree, Evening Job
Virtual Assistant, $50/hr, Part-Time, Remote, Weekend Job
Data Entry, $40/hr, Evening Job, No Experience, Remote
Remote Live Chat, $42/hr, Weekend, No Degree, Part-Time
Virtual Assistant, $45/hr, No Experience, Remote, Night Job
Phone Job, $50/hr, Remote, Part-Time, College Student
Remote Data Entry, $42/hr, Evening/Night Job, No Experience
Remote Moderator, $45/hr, No Degree, Weekend Job, Part-Time
Live Chat Support, $50/hr, Remote, Night Shift, No Degree
Virtual Assistant, $40/hr, Weekend, College Student, Remote
Remote Phone Job, $42/hr, Part-Time, No Experience Required
Remote Data Entry, $45/hr, No Degree, Weekend, Night Job
Virtual Assistant, $50/hr, Evening, Remote, College Student
Customer Support, $42/hr, Weekend Job, Remote, No Degree
Phone Support, $45/hr, Remote, No Experience, Evening Job
Data Entry, $50/hr, Night Shift, No Degree, Remote Job
Remote Data Entry, No Experience, $40/hr, Part-Time
Virtual Assistant, $45/hr, Remote, No Experience, Night Job
Entry-Level Remote Data Entry, $50/hr, Evening Job
Customer Support, No Degree, $40/hr, Remote, Weekend Job
Remote Phone Job, $42/hr, Part-Time, College Student Friendly
Virtual Assistant, $40/hr, Remote, No Degree, Night Job
Part-Time Data Entry, $45/hr, Remote, College Student Friendly
Remote Moderator, No Degree, $50/hr, Evening, Weekend Job
Remote Customer Support, $42/hr, Night Job, No Experience
Live Chat Support, $40/hr, Remote, Entry Level, Part-Time
Virtual Assistant, Remote, $42/hr, Weekend, No Experience
Remote Data Entry, $45/hr, No Degree, Night Shift
Part-Time Customer Support, $40/hr, Remote, College Student
Remote Live Chat, $50/hr, Part-Time, Evening/Night Job
Entry Level Phone Job, $42/hr, Remote, No Degree Required
Weekend Data Entry, $45/hr, Remote, No Experience
Remote Virtual Assistant, $40/hr, Evening, Part-Time Job
Remote Moderator, $42/hr, Part-Time, Weekend, No Degree
Data Entry, $45/hr, Remote, Night Shift, College Student Job
Phone Support, Remote, $50/hr, No Experience, Part-Time
Virtual Assistant, No Experience, $42/hr, Remote, Weekend
Remote Customer Support, $45/hr, Part-Time, College Student
Data Entry, Remote, $40/hr, Night Shift, No Degree
Evening Virtual Assistant, Remote, $45/hr, No Experience
Weekend Customer Support, $42/hr, Remote, College Student
Remote Data Entry, $50/hr, No Experience, Evening/Night Job
Remote Live Chat, $40/hr, Part-Time, No Degree Required
Virtual Assistant, $42/hr, Remote, Weekend, Entry Level
Remote Phone Support, $45/hr, Evening, No Experience Required
Data Entry, No Experience, $50/hr, Remote, College Student
Remote Moderator, $40/hr, Weekend, No Degree, Part-Time
Live Chat Support, Remote, $42/hr, Night Shift, College Student
Phone Job, $50/hr, Remote, No Degree, Part-Time, Weekend
Data Entry, $45/hr, Remote, Evening, No Experience Required
Virtual Assistant, No Experience, $42/hr, Remote, Part-Time
Remote Customer Support, $50/hr, Night Shift, No Degree
Remote Data Entry, $40/hr, College Student Friendly, Part-Time
Live Chat Support, $42/hr, Weekend, Remote, No Degree
Virtual Assistant, Remote, $45/hr, Evening, No Experience
Remote Phone Job, $50/hr, College Student, Night Shift
Remote Moderator, $42/hr, Weekend, No Experience Required
Data Entry, No Degree, $45/hr, Part-Time, Remote Job
Customer Support, $50/hr, Remote, Evening/Night Job, No Degree
Virtual Assistant, $42/hr, Remote, Weekend, No Degree
Remote Live Chat, $45/hr, College Student, No Experience
Remote Data Entry, $40/hr, Part-Time, No Degree Required
Phone Support, $50/hr, Weekend, Remote, No Experience
Virtual Assistant, $42/hr, Evening, Remote, No Degree
Remote Customer Support, $45/hr, No Experience, Part-Time
Data Entry, $50/hr, Night Job, No Degree, Remote

What You'll Do

Staff Data Scientist will be responsible for:

  • 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
  • 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
  • Mentoring junior data scientists on the team



Your Skills & Abilities (Required Qualifications)

  • Master's Degree or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, Marketing Science, or another quantitative field
  • Deep knowledge of Machine Learning and Statistics. Familiarity with Deep Learning algorithms is a plus



  • Proficient in writing scalable code using Python and SQL/Spark, with experience working with Spark/ML, scikit-learn, NumPy, Pandas, StatsModels, PyMC, TensorFlow, PyTorch, and related packages
  • Experience with cloud compute platforms such as Azure with Databricks experience being especially valuable
  • 10+ years of experience as a Data Scientist or in a related role, developing, deploying, and monitoring performance of large analytic data sets and machine learning based models
  • Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, 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, media mix modeling (MMM), multi-touch attribution (MTA)
  • Prior experience with CRM, paid, earned, and owned media
  • Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality



Additional Job Description

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.

Compensation:

  • The expected base compensation for this role is: $160,200- $285,300. Actual base compensation within the identified 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: 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-CC1

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. 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 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.

Diversity Information

General 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 Statements

GM 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.

Back to blog

Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...