About CareerTakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, consumer financial services (consumer lending).

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

What You’ll Do

• Lead development and maintenance of predictive models for conversion, approval, funding, loss, and lifetime value across third‑party acquisition funnels (ping tree and offer wall).
• Build and operationalize lead scoring and real‑time valuation models used for routing and acceptance logic.
• Design, run, and analyze A/B and multivariate experiments across acquisition channels to measure model impact on business KPIs.
• Automate ETL and data pipelines to ensure reliable training data, reporting, and reproducible model runs.
• Partner with Marketing, Credit Risk, Engineering, and Operations to evaluate new lead sources and traffic types.
• Implement monitoring and model performance dashboards (e.g., Tableau, Power BI) and troubleshoot data quality issues.
• Perform ad‑hoc analyses to support strategic decisions and prioritize growth opportunities.
• Ensure all modeling and data practices comply with company policies and applicable industry regulations.

Who You Are (Minimum Qualifications)

• Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or related). Advanced degree preferred.
• 2+ years in data science, analytics, or a related role with emphasis on digital lead generation or customer acquisition.
• Hands‑on experience with Python (Pandas, scikit‑learn, XGBoost) and model explainability tools (e.g., SHAP).
• Strong SQL skills for data extraction, transformation, and analysis.
• Experience building and deploying machine learning models in production (Python or R).
• Experience with reporting and visualization tools such as Tableau or Power BI.
• Demonstrated ability to translate statistical insights into actionable business recommendations.
• Excellent verbal and written communication skills; able to work cross‑functionally.
• Self‑starter who thrives in a dynamic, fast‑paced environment with changing priorities.

Preferred / Nice to Have

• Background in consumer lending, credit‑based customer acquisition, or related financial services analytics.
• Experience with real‑time scoring, routing logic, and integrating models into decisioning systems (ping trees, offer walls).
• Familiarity with MLOps practices, model monitoring, and feature store concepts.
• Prior experience running attribution measurement for paid and third‑party lead channels.

Compensation & Benefits

• Competitive wages and a comprehensive benefits package.
• Health, dental, and life insurance options; HSA with employer contributions.
• 401(k) savings plan with company match.
• Paid time off, paid parental leave, and company holidays.
• Tuition reimbursement, rewards & recognition programs, and employee assistance resources.
• Office in downtown Greenville with on‑site amenities (parking, gym, snacks) where applicable.

Logistics & Requirements

• Location: Greenville, SC (onsite or hybrid as defined by the Confidential Client).
• Travel: up to 5%.
• Attire: Business casual.
• Must be eligible to work in the USA and able to pass a background check.
• Physical requirements: typical office environment tasks (sitting for long periods, typing, occasional lifting up to 20 lbs.).

Equal Opportunity & Hiring Transparency

CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.