Data Scientist

Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601   

 

Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future.  Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending.  Providing services in over 23 states, Purpose Financial employs over 2,500 team members.

At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.

We offer:

• Competitive Wages
• Health/Life Benefits
• Health Savings Account plus Employer Seed
• 401(k) Savings Plan with Company Match
• Paid Parental Leave
• Company Paid Holidays
• Paid Time Off including Volunteer Time
• Tuition Reimbursement
• Business Casual Environment
• Rewards & Recognition Program
• Employee Assistance Program
• Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks

To learn more about Purpose Financial visit Purpose Financial Website.

 

Position Summary

This position reports to the Manager of Data Science and is responsible for leveraging data to develop impactful risk management strategies in the consumer lending sector. This role will collaborate with cross-functional teams to create predictive models, generate actionable insights, and optimize decision-making processes. Furthermore, this role requires someone who quickly adapts to change and is willing to complete all duties as assigned and requested.

Job Responsibility

• Develop statistical and machine learning models to optimize various stages of the customer lifecycle, including acquisition, underwriting, and retention.
• Design experiments, including A/B tests, to improve model accuracy and business processes.
• Automate data pipelines, reporting, and analysis to drive efficiency and provide actionable insights.
• Develop processes to cleanse, integrate, and evaluate large, diverse datasets to derive insights into consumer financial behavior.
• Perform ad-hoc analyses to support strategic decision-making and business initiatives.
• Ensure compliance with company policies and industry regulations.

Job Responsibilities Cont.

Education Required

Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related disciplines (Advanced degree preferred).

Experience Required

• Hands-on experience in building machine learning models using Python or R.
• Familiarity with reporting tools such as Tableau or Power BI.
• Proficiency in machine learning techniques and Python libraries like Pandas, scikit-learn, XGBoost, and SHAP.
• Working knowledge of SQL for data manipulation and analysis.
• Strong analytical abilities to combine data from multiple sources and interpret business performance.
• Excellent communication skills, both written and verbal.
• Flexibility to adapt to a dynamic, fast-paced environment with changing priorities.

Knowledge Required

Excellent written and verbal communications skills; adaptability and flexibility to a changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/busines