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Data Scientist Machine Learning Jobs in Greenville, SC

Data Scientist

Greenville, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong foundational knowledge in statistics, data science, and machine learning, including techniques such as multivariate regression, decision trees, stochastic gradient boosting, and deep learning

Data Scientist

Greenville, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strong foundational knowledge in statistics, data science, and machine learning, including techniques such as multivariate regression, decision trees, stochastic gradient boosting, and deep learning

Strong foundational knowledge in statistics, data science, and machine learning, including techniques such as multivariate regression, decision trees, stochastic gradient boosting, and deep learning

Data Scientist - FCRM

Greenville, SC · On-site

$96K - $155K/yr

Prior experience and expertise with machine learning, Microsoft Azure, Python, SQL, and Databricks ... data science * Is familiar with the business context and data infrastructure and can translate ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop and validate Machine Learning models that support demand forecasting, scenario modeling ... Translate business technical data challenges into concrete data science and AI/ML problem ...

Data Scientist

Greenville, SC · On-site

$45.96 - $50.96/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop and validate Machine Learning models that support demand forecasting, scenario modeling ... Translate business technical data challenges into concrete data science and AI/ML problem ...

Senior Manager, Data Science - FCRM Modeling

Greenville, SC · On-site

$123K - $201K/yr

  • Medical

  • Retirement

  • PTO

This role manages the overall data scientist team or function for a key business which may include ... Strong understanding of large language models (LLMs), machine learning, and quantitative risk ...

Data Science Tutor

Greenville, SC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Cloud Data Engineer

Greenville, SC · On-site

$100K - $121K/yr

You will collaborate with business analysts, software developers, and data scientists to create reliable data pipelines, cloud based architectures, and production ready machine learning solutions ...

AI Solutions Engineering Delivery Lead

Spartanburg, SC · On-site

$100K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Analyst Sr- Level 3

Greenville, SC · On-site

$85K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Basic Qualifications - Bachelor's degree in Computer Science, Information Technology, Engineering ... Interest with AI machine learning concepts and can demonstrate knowledge on the topic -QE ...

NGA AI Engineer Manager

Spartanburg, SC

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

US Tech - AI Engineering Senior Associate

Spartanburg, SC

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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Showing results 1-20

Data Scientist Machine Learning information

See Greenville, SC salary details

$35.3K

$115.4K

$184.8K

How much do data scientist machine learning jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data scientist machine learning in Greenville, SC is $115,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,600.00 and $127,900.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Greenville, SC?

The most popular types of Data Scientist Machine Learning jobs in Greenville, SC are:

What are popular job titles related to Data Scientist Machine Learning jobs in Greenville, SC?

For Data Scientist Machine Learning jobs in Greenville, SC, the most frequently searched job titles are:

What job categories do people searching Data Scientist Machine Learning jobs in Greenville, SC look for?

The top searched job categories for Data Scientist Machine Learning jobs in Greenville, SC are:

Infographic showing various Data Scientist Machine Learning job openings in Greenville, SC as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 85% In-person, 10% Hybrid, and 5% Remote job distribution, with an average salary of $115,410 per year, or $55.5 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Global Lending Services rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Why GLS?
Purpose: Access to affordable, reliable transportation is essential to leading productive work and personal lives, caring well for oneself, one's family, and the needs of others. Through advanced analytics and technology, we can more accurately predict credit risk and provide more people with an affordable auto financing option for their next vehicle. That's what GLS has done for over 10 years, helping more than half a million families meet and improve their transportation needs.
People: Join a culture of over 1,000 employees who Care Deeply and Think Boldly, driving innovation in an adaptive and positive culture that celebrates successes. We empower and reward individuals and teams who make direct, positive impacts to the business and each other, who take pride in their work and are ever-raising the bar.
Growth: Recognized by Inc 5000 as one of the fastest-growing private companies in America. Join GLS to grow with us!
Benefits: GLS offers the below great benefits for your amazing work!
o Competitive base pay and performance bonuses, dependent on role
o Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term disability
o 401K with employer match and 100% immediate vesting
o Paid Time Off (PTO) and paid company holidays to help you balance work and personal life
o Paid Volunteer Time Off (VTO) Annually
o Tuition Reimbursement
o Parental Leave
o Business casual work environment
***This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026***
What does it mean to be a Data Scientist at GLS?
GLS relies heavily on Data Science and Decision Science to power automated, intelligent decision-making that strengthens dealer partnerships and enables us to offer affordable lending solutions to consumers. As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges by applying your strong critical thinking, academic expertise, and ability to quickly master new concepts and domains, transforming knowledge into practical solutions.
How will you drive value within the organization as a Data Scientist?
  • Understanding business problems and needs to design effective data science solutions
  • Gathering data from various sources, cleaning it appropriately, and visualizing it to identify anomalies and patterns
  • Developing robust predictive models using suitable modeling techniques
  • Generating insights and crafting a cohesive narrative from the data, summarizing analytical results, and presenting them to stakeholders
  • Collaborating with business partners to translate models into actionable business strategies
  • Working with IT to implement models into IT platforms for automated decision-making
  • Monitoring model performance to ensure effectiveness and validity
  • Continuously learning new technologies and refining skills daily

What should you already know to be successful as a Data Scientist?
  • Strong foundational knowledge in statistics, data science, and machine learning, including techniques such as multivariate regression, decision trees, stochastic gradient boosting, and deep learning
  • Proficiency in programming and working with open-source AI/ML languages and tools, including but not limited to SQL, Python, R, scikit-learn, statsmodels, XGBoost, and LightGBM
  • Proven experience in managing and analyzing large datasets
  • Excellent written and verbal communication skills, with the ability to convey complex ideas in a clear, business-oriented, and user-friendly manner
  • Self-motivated with a demonstrated ability to take initiative, identify opportunities for improvement, make actionable recommendations, and see them through to implementation while assessing their effectiveness
  • Outstanding interpersonal skills: approachable, tactful, and capable of influencing others, resolving conflicts, exercising sound judgment, maintaining confidentiality, and collaborating with all levels of the organization to build strong cross-functional partnerships

Employment Requirements:
  • This is an exempt level position whereby business need will dictate the exact work schedule which should be expected to vary at times. Generally, the days and hours of work are Monday through Friday, 8:30am-5:30pm
  • Regular, predictable attendance is required, including in excess of 40 hours per week as business demands dictate
  • Evening and weekend work may be required as job duties demand
  • The position does not require travel
  • Significant portions of daily assignments involve application of manual skills requiring motor coordination in combination with finger dexterity
  • Remain in a stationary position up to 100% of the workday
  • Be able to perform activities such as: viewing a computer terminal, extensive reading, bending, and kneeling

2023 California Applicant Privacy Notice
GLS participates in the E-Verify program to confirm the employment eligibility of all newly hired employees
Please visit www.glsauto.com for information about our great company and other amazing opportunities
Applicants have rights under Federal Employment Laws
Family and Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)

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