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Machine Learning Data Associate Jobs in Boiling Springs, SC

Pwc

CTIO-AI Engineer-Sr Associate

Spartanburg, SC

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain ...

Pwc

NGA AI Engineer Manager

Spartanburg, SC

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

CTIO AI Engineering Manager

Spartanburg, SC · On-site

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

Data Engineer - Senior Associate

Spartanburg, SC

$77K - $202K/yr

Focused on relationships, you are building meaningful client connections, and learning how to ... data architecture strategies. As a Senior Associate you analyze complex problems, mentor others ...

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How much do machine learning data associate jobs pay per hour?

As of May 30, 2026, the average hourly pay for machine learning data associate in Boiling Springs, SC is $16.42, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $17.50 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Data Associate, and why are they important?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a Machine Learning Data Associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What are Machine Learning Data Associates?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

What cities near Boiling Springs, SC are hiring for Machine Learning Data Associate jobs? Cities near Boiling Springs, SC with the most Machine Learning Data Associate job openings:
Machine Learning Data Associate jobs near you
Data Scientist | 2026 Start

Data Scientist | 2026 Start

American Credit Acceptance

Spartanburg, SC • On-site

Full-time

Posted 12 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

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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