Data Scientist, Customer Experience

Job Description

This role is based remotely but if you live within a 50-mile radius of Warren, MI, Austin, TX, Roswell, GA, or Mountain View, CA, you are expected to report to that location three times a week, at minimum. or other frequency dictated by the business.

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

The Role:
As a Data Scientist, will be in Applying Data Science and Modeling techniques to tackle complex business problems. Are you driven and passionate about data analytics and data sciences? Can you lead with our vision for the future? Come be part of an industry whose vision is to change the future of mobility.

What You'll Do:

In this role you will be responsible for the analysis of large datasets to extract actionable insights and patterns that drive business decisions. You will also develop and implement machine learning models to solve complex business problems and improve processes while exploring and experimenting with new data sources, techniques, and algorithms to continuously improve analytical capabilities.

• Analyze large datasets to extract actionable insights and patterns that drive business decisions.
• Develop and implement machine learning models to solve complex business problems and improve processes.
• Clean, preprocess, and transform raw data into usable formats, ensuring data quality and integrity.
• Explore and experiment with new data sources, techniques, and algorithms to continuously improve analytical capabilities.
• Collaborate with cross-functional teams to identify data-driven opportunities and provide guidance on data collection and storage.
• Able to work independently and guide more junior resources through standard projects, under direction of a senior data scientist.
• Design and conduct A/B tests to measure the impact of data-driven initiatives and drive optimization.

Your Skills & Abilities (Qualifications):

• Master's/Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of experience as a Data Scientist or in a related role.
• Proficiency in programming languages such as Python or R for data manipulation, analysis, modeling and experience working with cloud platforms like Azure.
• Solid understanding of machine learning techniques, algorithms, and libraries.
• Experience with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights.
• Solid problem-solving skills and the ability to translate business questions into data-driven solutions.
• Familiarity with data storage solutions, databases, and data processing frameworks.
• Excellent communication skills to present findings and collaborate across teams.
• Eager to learn and stay up to date with latest/emerging technologies, methods, and trends.
• Knowledge of Customer Experience line of business (optional).

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

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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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.​