2

Entry Level Data Scientist Machine Learning Jobs in Greenville, SC

This posting is to enter our campus recruiting and entry-level process for position offers being ... Strong foundational knowledge in statistics, data science, and machine learning, including ...

This posting is to enter our campus recruiting and entry-level process for position offers being ... Strong foundational knowledge in statistics, data science, and machine learning, including ...

... 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

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

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 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 ...

Python Tutor

Greenville, SC · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... data science, software development, or academic computing work. * Effective Teaching Methods:

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Innovation and Research Intern Spring 2027

Greenville, SC · On-site

$13.25 - $17.50/hr

The Tech Office examines topics in the areas of artificial intelligence (such as machine/deep learning / genetic algorithms / generative AI / large language models), data science, Metaverse (AR/VR ...

Ability to explain statistical modeling techniques, machine learning basics, and business ... Skilled at breaking down regression modeling, data visualization design, and optimization problem ...

next page

Showing results 1-20

Entry Level Data Scientist Machine Learning information

See Greenville, SC salary details

$35.3K

$115.4K

$184.8K

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

As of Aug 13, 2026, the average yearly pay for entry level 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 are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

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

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

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

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

Infographic showing various Entry Level Data Scientist Machine Learning job openings in Greenville, SC as of June 2026, with employment types broken down into 98% Full Time, and 2% Temporary. Highlights an 88% Physical, 3% Hybrid, and 9% 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)

What Global Lending Services employees say

Pay

Workplace

Get the full story on Breakroom