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Summer Python Sql Jobs in South Carolina (NOW HIRING)

Summer Python Sql information

What is the difference between Summer Python Sql vs Summer Data Analyst?

AspectSummer Python SqlSummer Data Analyst
Required SkillsPython, SQL, data manipulationData analysis, SQL, Excel, visualization
Work EnvironmentProgramming, coding projectsData interpretation, reporting
Industry UsageTech, finance, startupsBusiness, marketing, finance

Summer Python Sql focuses on coding and data manipulation using Python and SQL, often in tech-driven environments. Summer Data Analyst emphasizes analyzing data, creating reports, and visualizations. Both roles require SQL skills, but Python is central to Summer Python Sql, while data analysis tools are key for Summer Data Analyst. They share industry overlap but differ in daily tasks and skill emphasis.

What cities in South Carolina are hiring for Summer Python Sql jobs?

Cities in South Carolina with the most Summer Python Sql job openings:

Full-time

Posted 25 days ago


American Credit Acceptance rating

7.3

Company rating: 7.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Description

 

Launch your career with us! We’re looking for students graduating between Fall 2026 and Summer 2027 who are ready to jump in and start full-time in 2027. 

Are you driven to uncover insights and solve complex problems using advanced analytics and machine learning? If so, launch your career with us as a Data Scientist! 

About American Credit Acceptance 

American Credit Acceptance is a leading auto finance company known for its innovative solutions and commitment to excellence. We today manage over $7 billion in assets with operating in all 50 states We pride ourselves on our dynamic work environment, collaborative culture, and dedication to continuous improvement.  

As a Data Scientist you will have the chance to make a significant impact on our organization's growth and success.  Come join us to explore and learn, and accelerate your career growth. 

We are proudly headquartered in Spartanburg, SC. Nestled in the foothills of the Blue Ridge Mountains, we are in close proximity to sandy beaches and an easy drive to Charlotte, Charleston or Atlanta. Spartanburg has also been recognized by US News and World Report as one of the top places to live and the 12th in fastest growing city. 

Responsibilities: 

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

  • Analyze large amounts of structured and unstructured data using scientific methods and algorithms to develop knowledge and insights and improve business performance in impact areas including pricing modeling, financial returns, web analytics, call analytics, speech analytics, fraud analytics, forecasting, and auction analysis. 

  • Understand and apply mathematical theory by developing and leveraging predictive models, boosted models, decision trees/Random forests, Support Vector Machine (SVM), neural networks/deep learning, regression modeling, experimental design, and other techniques. 

  • Leverage R, Python, SQL, Tableau, and other quantitative analytical techniques to extract and manipulate data, as well as to develop, analyze, validate, and deploy predictive models. 

  • Engage across functional areas, including Operations, Legal, Compliance, Informational Technology, Vendor Management, and Finance to develop an understanding of fields to which statistical methods are to be applied and to determine which methods and results are appropriate. 

  • Leverage statistical models and collaborate closely with technology and business groups to analyze operational feasibility, implementation, and production integration. 

  • Develop profitability analyses to assess the financial value of new models. 

  • Develop monitoring of model inputs, sampling techniques, and performance and make changes to models when needed. 

  • Create statistically derived tests to grow business knowledge and measure the impact of hypotheses. 

  • Research and evaluate advanced statistical techniques using machine learning and artificial intelligence techniques to advance knowledge and pursue new approaches. 

  • Report results of statistical analyses and present written recommendations in a clear manner to senior executives. 

  • Consistently consider, and follow, ACA’s Guiding Principles 

Qualifications: 

  • Bachelor’s or higher degree (or its equivalent) in Mathematics, Statistics, or a related analytical field with exceptional academic performance (3.4 or higher GPA) 

  • Experience validating and monitoring models using statistical techniques and KPIs relevant in a business environment 

  • Exceptional written and verbal communication, specifically, the ability to convey results to both technical, and non-technical, audiences effectively 

  • Ability to manage multiple projects/tasks and prioritize them based on impact 

  • The ability to quickly assess problems and find workable solutions within a business framework (understanding that added complexity does not always lead to added performance) 

Guiding Principles 

To succeed in this role, you’ll demonstrate ACA’s core values: Integrity, Partnership, Humility, Principled Entrepreneurship, Initiative, and Fulfillment. 

  
Work Environment and Physical Demands 
This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. This position is required to lift at least 50 pounds and have the mobility to keep the storage areas orderly and floors cleaned of IT clutter. 
  
Position Type/Expected Hours of Work 
This is a full-time position with a work schedule of Monday-Friday.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
EEO Statement  
ACA provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. ACA complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
California Privacy Notice 
As an employer of California residents, we are dedicated to protecting your privacy rights. Any personal information you provide during the application process will be used solely for permitted internal purposes and will be handled in accordance with applicable privacy laws. By applying to this position, you consent to the collection, use, and disclosure of your personal information as described in our Employee Privacy Notice.

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