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Entry Level Decision Scientist Jobs (NOW HIRING)

Global Lending Services

Data Scientist

Greenville, SC · On-site

... 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 ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

... 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 ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

... 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 ...

Benda Infotech

Junior Data Scientist

Chicago, IL

$70K - $100K/yr

This full-time, on-site position offers a fantastic opportunity for entry-level professionals eager ... data-driven decision-making in the organization. You'll work closely with experienced data ...

New

asrcfh

Data Scientist

Oklahoma City, OK

... decision-making. * Develop scripts and tools using C, C++, and Python for automation, analysis, and ... Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

asrcfh

Data Scientist

Oklahoma City, OK · On-site

... decision-making. * Develop scripts and tools using C, C++, and Python for automation, analysis, and ... Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

Plexus Corp.

Desktop Administrator I

Nampa, ID · On-site

$51K - $77K/yr

... Sciences and Industrial companies to design, manufacture and service some of the world's most ... Intermediate level computer skills * Entry level decision making and problem-solving skills

Hadronts

Entry Level Software Developer

Austin, TX

We are seeking a highly motivated Software Developer to join our Decision Support Systems team to ... Bachelor's degree in Computer Science, Engineering, Math, Science or related degree. * At least a 3 ...

ASRC Federal Holding

Data Scientist

Oklahoma City, OK · On-site

... decision-making. * Develop scripts and tools using C, C++, and Python for automation, analysis, and ... Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

WSP

Early Career Environmental Scientist

Brentwood, TN · On-site

$71K - $93K/yr

... entry-level technical assistance on various environmental issues. * Generate complete, accurate ... Exercise responsible and ethical decision-making regarding company funds, resources and conduct ...

WSP

Early Career Environmental Scientist

Baltimore, MD

$74K - $97K/yr

... entry-level technical assistance on various environmental issues. * Generate complete, accurate ... Exercise responsible and ethical decision-making regarding company funds, resources and conduct ...

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Entry Level Decision Scientist information

What are some common challenges faced by entry-level decision scientists when transitioning from academic projects to real-world business problems?

Entry-level decision scientists often find that real-world business problems are less structured and more ambiguous than academic assignments. Unlike textbook scenarios, data may be incomplete or messy, and objectives can shift based on stakeholder priorities. Adapting to these challenges requires strong communication skills to clarify goals with business partners, as well as the flexibility to iterate on models and analyses as new information emerges. Collaborating effectively with cross-functional teams is essential for aligning technical solutions with practical business needs.

What are the key skills and qualifications needed to thrive as an Entry Level Decision Scientist, and why are they important?

To thrive as an Entry Level Decision Scientist, you need a solid background in statistics, data analysis, and problem-solving, often supported by a bachelor's degree in a quantitative field. Familiarity with data analysis tools like Python, R, SQL, and visualization platforms such as Tableau is typically required. Strong critical thinking, communication, and teamwork skills help you interpret data and present actionable insights effectively. These abilities are crucial for translating complex data into strategic recommendations that drive business decisions.

What are entry level decision scientists?

Entry level decision scientists are professionals who use data analysis, statistical methods, and business knowledge to help organizations make informed decisions. They typically work with large datasets to identify trends, solve problems, and recommend actions that improve business outcomes. At the entry level, they may assist senior decision scientists by cleaning data, building basic models, and preparing reports, while developing their technical and analytical skills. This role is ideal for recent graduates with backgrounds in statistics, mathematics, economics, or related fields who want to start a career in data-driven decision making.

What do you need to be a decision scientist?

To become a decision scientist, you typically need a strong background in data analysis, statistics, and programming, often with a bachelor's degree in fields like data science, statistics, or related areas. Skills in tools such as Python, R, or SQL, along with critical thinking and problem-solving abilities, are essential. Some roles may require a master's degree or higher for advanced responsibilities.

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

AspectEntry Level Decision ScientistData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles may prefer certifications in analytics toolsBachelor's in Data Science, Statistics, or related field; certifications in Excel, SQL, or data visualization are common
Work EnvironmentCollaborates with decision-makers, develops models, and supports strategic decisionsAnalyzes data sets, creates reports, and visualizations to inform business insights
Employer & Industry UsageUsed in finance, marketing, healthcare, and retail for decision supportCommon across industries for data reporting and analysis tasks

Entry Level Decision Scientists and Data Analysts share similar educational backgrounds and work environments. However, Decision Scientists focus more on building predictive models and supporting strategic decisions, while Data Analysts primarily analyze data and generate reports. Both roles are essential in data-driven organizations, with Decision Scientists often taking a more advanced analytical approach.

Is 40 too late for data science?

Entry level decision scientists and data scientists can successfully start their careers at age 40 or older, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in life by acquiring relevant skills through online courses, certifications, and practical projects, making age less of a barrier than technical competence and adaptability.

Can I get a data scientist job with no experience?

Entry level decision scientist roles typically require some foundational knowledge in statistics, programming, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such a position.

How much do decision scientists make?

Entry-level decision scientists typically earn between $60,000 and $80,000 annually, with salaries increasing with experience and skills in data analysis, machine learning, and programming. Senior decision scientists or those in high-demand industries can earn over $100,000 per year.
More about Entry Level Decision Scientist jobs
What are the most commonly searched types of Decision Scientist jobs? The most popular types of Decision Scientist jobs are:
What states have the most Entry Level Decision Scientist jobs? States with the most job openings for Entry Level Decision Scientist jobs include:
What job categories do people searching Entry Level Decision Scientist jobs look for? The top searched job categories for Entry Level Decision Scientist jobs are:
Entry Level Decision Scientist jobs near you
Infographic showing various Entry Level Decision Scientist job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.
Data Scientist

Data Scientist

Global Lending Services

Greenville, SC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 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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