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Machine Learning Project Manager Jobs in Boiling Springs, SC

AFL

Project Coordinator

Duncan, SC · On-site

... management of manufacturing assets and critical machine components. Responsibilities * Coordinate Mechatronics Engineering projects from initiation through completion while supporting project ...

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All JobsMachine Learning Project JobsMachine Learning Project Manager JobsMachine Learning Project Manager Jobs in Boiling Springs, SC

Machine Learning Project Manager information

See Boiling Springs, SC salary details

$39K

$84.6K

$135.4K

How much do machine learning project manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning project manager in Boiling Springs, SC is $84,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $99,000.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Machine Learning Project Managers will continue to be essential as they oversee AI development, coordinate teams, and ensure project goals are met. Roles requiring complex problem-solving, creativity, and human judgment—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs benefit from interpersonal skills, critical thinking, and adaptability that AI cannot easily replicate.

Will AI replace PMP?

AI is unlikely to fully replace Project Management Professionals (PMP) as the role requires leadership, strategic thinking, and stakeholder communication that AI cannot replicate. Instead, AI tools can support PMPs by automating routine tasks, data analysis, and scheduling, allowing them to focus on complex decision-making and team management. Certification and experience remain essential for effective project management in an AI-enhanced environment.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors, often in large organizations or tech companies. These positions usually require advanced skills in AI, machine learning, and leadership, along with significant experience and sometimes specialized certifications. Compensation at this level reflects the complexity and strategic importance of AI initiatives within the company.

What is the difference between Machine Learning Project Manager vs Data Scientist?

AspectMachine Learning Project ManagerData Scientist
Required CredentialsBachelor's or Master's in Business, Computer Science, or related; PMP or Agile certificationsDegree in Computer Science, Statistics, or related; often a Master's or PhD
Work EnvironmentProject teams, cross-functional collaboration, client interactionsResearch, data analysis, model development in labs or offices
Industry UsageTech companies, finance, healthcare, where managing ML projects is keyData-driven roles across industries, focusing on model building and analysis

The main difference is that a Machine Learning Project Manager oversees ML projects, coordinating teams and ensuring timely delivery, while a Data Scientist focuses on developing models and analyzing data. Both roles require technical knowledge, but their core responsibilities differ significantly.

What is the salary of AI ML project manager?

The salary of a Machine Learning Project Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often supplemented with bonuses and benefits.
What cities near Boiling Springs, SC are hiring for Machine Learning Project Manager jobs? Cities near Boiling Springs, SC with the most Machine Learning Project Manager job openings:
Machine Learning Project Manager jobs near you
Data Scientist | 2026 Start

Data Scientist | 2026 Start

American Credit Acceptance

Spartanburg, SC

Full-time

Posted 27 days ago

American Credit Acceptance rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Launch your career with us! We’re looking for students graduating between Fall 2025 and Summer 2026 who are ready to jump in and start full-time in 2026.
Are you driven to uncover insights and solve complex problems using advanced analytics and machine learning? If so, launch your career with us as a Data Scientist!
About American Credit Acceptance
American Credit Acceptance is a leading auto finance company known for innovative solutions and a strong commitment to growth. We’re proud to have delivered double-digit growth for the past 10 years, and today we manage over $5 billion in assets. Join our collaborative culture, apply your skills to meaningful challenges, and help shape the future of auto finance for the emerging credit consumer.
Responsibilities:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Analyze large amounts of structured and unstructured data using scientific methods and algorithms to develop knowledge and insights and improve business performance in impact areas including pricing modeling, financial returns, web analytics, call analytics, speech analytics, fraud analytics, forecasting, and auction analysis.
  • Understand and apply mathematical theory by developing and leveraging predictive models, boosted models, decision trees/Random forests, Support Vector Machine (SVM), neural networks/deep learning, regression modeling, experimental design, and other techniques.
  • Leverage R, Python, SQL, Tableau, and other quantitative analytical techniques to extract and manipulate data, as well as to develop, analyze, validate and deploy predictive models.
  • Engage across functional areas, including Operations, Legal, Compliance, Informational Technology, Vendor Management, and Finance to develop an understanding of fields to which statistical methods are to be applied and to determine which methods and results are appropriate.
  • Leverage statistical models and collaborate closely with technology and business groups to analyze operational feasibility, implementation, and production integration.
  • Develop profitability analyses to assess the financial value of new models.
  • Develop monitoring of model inputs, sampling techniques, and performance and make changes to models when needed.
  • Create statistically derived tests to grow business knowledge and measure the impact of hypotheses.
  • Research and evaluate advanced statistical techniques using machine learning and artificial intelligence techniques to advance knowledge and pursue new approaches.
  • Report results of statistical analyses and present written recommendations in a clear manner to senior executives.
  • Consistently consider, and follow, ACA’s Guiding Principles
Qualifications:
  • Bachelor’s or higher degree (or its equivalent) in Mathematics, Statistics, or a related analytical field with exceptional academic performance (3.4 or higher GPA)
  • Experience validating and monitoring models using statistical techniques and KPIs relevant in a business environment
  • Exceptional written and verbal communication, specifically, the ability to convey results to both technical, and non-technical, audiences effectively
  • Ability to manage multiple projects/tasks and prioritize them based on impact
  • The ability to quickly assess problems and find workable solutions within a business framework (understanding that added complexity does not always lead to added performance)
Guiding Principles
To succeed in this role, you’ll demonstrate ACA’s core values: Integrity, Partnership, Humility, Principled Entrepreneurship, Initiative, and Fulfillment.
 
Work Environment and Physical Demands
This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. This position is required to lift at least 50 pounds and have the mobility to keep the storage areas orderly and floors cleaned of IT clutter.
Position Type/Expected Hours of Work
This is a full-time position with a work schedule of Monday-Friday with some schedule variations as needed including on-call coverage rotation. Occasional night or weekend work for special projects.
EEO Statement 
ACA provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. ACA complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
 
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. 
 
California Privacy Notice 
As an employer of California residents, we are dedicated to protecting your privacy rights. Any personal information you provide during the application process will be used solely for permitted internal purposes and will be handled in accordance with applicable privacy laws. By applying to this position, you consent to the collection, use, and disclosure of your personal information as described in our Employee Privacy Notice.

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