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Entry Level Ge Data Scientist Jobs (NOW HIRING)

SynergisticIT

Junior Data Scientist/Analyst

Tampa, FL · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

SynergisticIT

Junior Data Scientist/Analyst

Tampa, FL · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Pwc

AIT - AI Data Scientist Senior Associate

Tampa, FL · On-site

$72K - $212K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AIT - AI Data Scientist Senior Associate

New York, NY · On-site

$72K - $212K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA · On-site

$72K - $212K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Ge Data Scientist information

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$37.5K

$122.7K

$196.5K

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

As of Sep 3, 2026, the average yearly pay for entry level ge data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Ge Data Scientist vs Entry Level GIS Analyst?

AspectEntry Level Ge Data ScientistEntry Level GIS Analyst
Required CredentialsBachelor's in Geography, Data Science, or related field; some roles prefer certifications in data analysis or GISBachelor's in Geography, GIS, or related field; certifications like GISP are common
Work EnvironmentData analysis teams, research labs, tech companies, often involving programming and statistical toolsGovernment agencies, urban planning firms, environmental organizations, using GIS software and mapping tools
Employer & Industry UsageTech companies, consulting firms, research institutionsGovernment agencies, environmental firms, urban planning departments

Entry Level Ge Data Scientists focus on analyzing spatial data using programming and statistical skills, often in tech or research settings. Entry Level GIS Analysts primarily work with GIS software to create maps and analyze geographic information, typically in government or environmental sectors. Both roles require a background in geography or related fields but differ in technical focus and work environment.

More about Entry Level Ge Data Scientist jobs

What are the most commonly searched types of Ge Data Scientist jobs?

The most popular types of Ge Data Scientist jobs are:

What job categories do people searching Entry Level Ge Data Scientist jobs look for?

The top searched job categories for Entry Level Ge Data Scientist jobs are:

Entry Level Ge Data Scientist jobs near you
Infographic showing various Entry Level Ge Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist - December 2026 - May 2027 Grads

Global Lending Services

Greenville, SC

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 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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