Data Scientist - Lead Gen

Purpose Financial•Greenville, SC

1d•Onsite

About The Position

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. Are you passionate about turning data into revenue? Join Purpose Financial's fast-growing Lead Generation team, where data scientists play a central role in driving customer acquisition strategy across credit-based channels. This position reports to the Director, Data Science – Lead Generation and supports the data science strategy powering ping tree and offer wall-based consumer loan acquisition. This role contributes to lead scoring, routing, experimentation, and performance optimization to drive profitable growth across third-party acquisition channels.

Requirements

2+ years of experience in data science or a related field, with a focus on attributable digital lead generation or customer acquisition.
Proactive and self-driven with a strong sense of ownership — takes initiative, follows through, and holds themselves accountable for outcomes
Experience with credit-based customer acquisition strategies, lead generation models, and marketing analytics in the financial services or consumer lending industry
Proficiency in machine learning techniques and Python libraries (Pandas, scikit-learn, XGBoost, SHAP), with hands-on experience building and deploying machine learning models using Python or R
Proficiency in SQL for data manipulation and analysis
Proficiency in reporting tools such as Tableau or Power BI
Comfortable solving complex problems using higher-level mathematics; ability to combine data from multiple sources and interpret business performance
Excellent communication skills, both written and verbal, to communicate in person, by phone, and through email
Flexibility to adapt to a dynamic, fast-paced environment with changing priorities
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/business and products.
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.
Must be eligible to work in the USA and able to pass a background check.

Nice To Haves

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

Responsibilities

Develop data science strategy for ping tree and offer wall lead generation
Build and maintain models predicting conversion, approval, funding, loss, and lifetime value across acquisition funnels
Build and maintain lead scoring models to prioritize high-quality acquisition leads
Support real-time lead valuation, routing, and acceptance logic
Design and execute A/B tests across acquisition funnels to improve model accuracy and business outcomes
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 insight into consumer financial behavior
Evaluate new lead sources and traffic types in partnership with Marketing
Perform ad-hoc analyses to support strategic decision-making and business initiatives
Ensure compliance with company policies and industry regulations
Collaborate closely with Marketing, Credit Risk, Engineering, and Operations teams
Understand, adhere to, and enforce all corporate policies.

Benefits

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