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Entry Level Data Science Jobs in Spartanburg, SC

Recruit Monitor

Data Analyst

Duncan, SC

Data Scientist under general supervision will perform data engineering, data modeling and model ... Entry-Level Job Family: Engineering/Science/Technology Product Service Line: Production ...

Pwc

AI & GenAI Data Scientist - Manager

Spartanburg, SC

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Global Lending Services

Data Developer

Greenville, SC · On-site

This posting is to enter our campus recruiting and entry-level process for position offers being ... data scientists * Design, build, enhance, and maintain Power BI and SSRS reports and dashboards ...

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Entry Level Data Science information

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$21

How much do entry level data science jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for entry level data science in Spartanburg, SC is $15.25, according to ZipRecruiter salary data. Most workers in this role earn between $12.88 and $17.12 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Spartanburg, SC?

The most popular types of Data Science jobs in Spartanburg, SC are:

What are popular job titles related to Entry Level Data Science jobs in Spartanburg, SC?

For Entry Level Data Science jobs in Spartanburg, SC, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Spartanburg, SC look for?

The top searched job categories for Entry Level Data Science jobs in Spartanburg, SC are:

What cities near Spartanburg, SC are hiring for Entry Level Data Science jobs?

Cities near Spartanburg, SC with the most Entry Level Data Science job openings:

Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Spartanburg, SC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $31,711 per year, or $15.2 per hour.

Data Scientist - December 2026 - May 2027 Grads

Global Lending Services

Greenville, SC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 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 December 2026 or May 2027***
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)
As part of our hiring process, we may use automated tools or artificial intelligence technologies to assist in evaluating applications, assessing qualifications, and supporting hiring decisions. All employment decisions are ultimately reviewed in accordance with applicable laws and company policies.

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