Data Scientist | 2027 Start
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Role details
Tech stack
Job description
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.
Requirements
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!, 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 with some schedule variations as needed including on-call coverage rotation. Occasional night or weekend work for special projects. 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.
About the company
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.
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