AmeriSave Mortgage Corporation
Finance • Real Estate
AmeriSave Mortgage Corporation is a leading online mortgage lender offering a variety of home financing solutions, including first and second mortgages, home equity loans, and refinancing options. With 20 years of mortgage experience, AmeriSave has served over 733,603 borrowers across 49 states in the U. S. The company prides itself on providing easy and fast mortgage processes with access to quick quotes and approvals, low rates, and secure rate locks. AmeriSave is committed to helping its clients achieve financial freedom and better financial positions through responsible home equity usage and effective mortgage solutions. The company is well-regarded for its excellent customer service and accessibility, offering support in multiple languages and emphasizing easy online interactions for customer convenience.
5001 - 10000 employees
Founded 2002
💸 Finance
🏠 Real Estate
Principal Data Scientist
Job not on LinkedIn
October 3
AmeriSave Mortgage Corporation
Finance • Real Estate
AmeriSave Mortgage Corporation is a leading online mortgage lender offering a variety of home financing solutions, including first and second mortgages, home equity loans, and refinancing options. With 20 years of mortgage experience, AmeriSave has served over 733,603 borrowers across 49 states in the U. S. The company prides itself on providing easy and fast mortgage processes with access to quick quotes and approvals, low rates, and secure rate locks. AmeriSave is committed to helping its clients achieve financial freedom and better financial positions through responsible home equity usage and effective mortgage solutions. The company is well-regarded for its excellent customer service and accessibility, offering support in multiple languages and emphasizing easy online interactions for customer convenience.
5001 - 10000 employees
Founded 2002
💸 Finance
🏠 Real Estate
📋 Description
• Build and deploy predictive models for lead conversion, customer lifetime value, and marketing ROI • Design and analyze experiments to evaluate campaign performance and optimize spend • Develop attribution frameworks and incrementality testing to guide marketing strategy • Design intelligent scheduling systems that align staffing with demand across mortgage and call center operations • Apply constraint-based optimization, linear/mixed-integer programming, and fatigue modeling to maximize productivity and SLA adherence • Integrate with workforce management systems to automate and enhance planning processes • Develop machine learning models to optimize lead routing based on agent performance, availability, and customer profiles • Analyze pricing elasticity and customer sensitivity to rate changes across segments and channels • Simulate pricing scenarios and recommend adjustments in collaboration with pricing and finance teams • Partner with stakeholders across Marketing, Sales, Operations, and Finance to translate business needs into analytical solutions • Present findings and recommendations to senior leadership in a clear, actionable manner
🎯 Requirements
• Master’s or PhD in Data Science, Statistics, Operations Research, Computer Science, or a related field • 6+ years of experience in applied data science roles, preferably in high-volume, customer-facing environments • Strong proficiency in R, Python, SQL, and Power-BI • Experience working with workforce management systems and call center focused organizations • Demonstrated success in marketing analytics, workforce optimization, and pricing strategy • Experience working with credit bureau data
🏖️ Benefits
• 401(k) • Dental insurance • Disability insurance • Employee discounts • Health insurance • Life insurance • Paid time off • 12 paid holidays per year • Paid training • Referral program • Vision insurance
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