Data Scientist II

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
• 3 Weeks of Paid Parental Leave
• 11 Company Paid Holiday's
• Paid Time Off including Volunteer Time
• Vacation Carryover
• Tuition Reimbursement
• Work-Life Balance
• Business Casual Environment
• Rewards & Recognition Program
• Employee Assistance Program
• Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks (for those working onsite or hybrid)

To learn more about Purpose Financial visit Purpose Financial Website.

 

Position Summary

Purpose Financial is looking for a Data Scientist to join our Data Science team to help support risk management function of our consumer loan portfolio. The ideal candidate will have a strong understanding of data analytics, predictive modeling and is comfortable working with large data sets. This role works closely with the management to perform analysis and help them make informed decisions about lending and managing the risks. Furthermore, this role requires someone who quickly adapts to change and is willing to complete all duties as assigned and requested.

Job Responsibility

• Develop and implement advanced statistical and machine learning models leveraged through the customer lifecycle which includes, (but not limited to) new customer acquisition, underwriting, conversion, collections, and retention.
• Evaluate the performance of existing models and design experiments to improve model performance via champion/challenger tests.
• Discover insights from additional data sources to understand/influence consumer financial behavior and continue to enhance machine learning models as additional data becomes available.
• Independently designs experiments to enable longer term optimization of decisions, line assignment, and offer terms across our menu of financial products and customer segments.
• Develop automated processes and procedures to streamline data analysis and reporting. Monitor trends in relevant KPIs and report on key insights on a regular basis.
• Stay up to date with the latest developments in data science and machine learning and evaluate how they can be applied to enhance our lending processes.

Job Responsibilities Cont.

Education Required

Bachelor’s degree in computer science, Economics, Engineering, Mathematics, Statistics, or a related quantitative field. (Advanced Degree preferred.)

Experience Required

At least 2 years of experience working in an analytical role. Prior experience in developing machine learning models is required.

Knowledge Required

• Experience in data engineering is a plus.
• Experience in building machine learning models using R or Python.
• Exposure to reporting tools such as Tableau, PowerBI.
• Experience with the different types of machine learning techniques and the usual Python data science stack (Pandas, scikit-learn, NumPy, XGBoost, SHAP, notebook environments, etc.) is preferred.
• Working knowledge of SQL.
• Ability to combine data from multiple sources to analyze and interpret business performance.
• Excellent written and verbal communications skills as would be needed to communicate in person, by phone, and through email.
• Adaptability and flexibility to changing environment; and comfortable working in a dynamic, fast-paced environment. Ability to interact professionally and exhibit appropriate social skills. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products. Ability to quickly learn all technology needed to perform the role.

Physical Requirements

Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.

Competencies

Achieve Desired ResultsAnalysis/Problem SolvingCustomer CommitmentVision-DrivenAction-OrientedPurpose-DrivenOKR

Travel

5%

Attire

Business Casual

Other

Must be eligible to work in the USA and able to pass a background check.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Requisition ID: 44430