Senior Applied Scientist (AI)

Location: Remote in the United States or Canada, excluding Quebec; regular in-person onsites are expected once or twice per quarter for 2–4 consecutive days.

Base salary: $167,700–$231,800 USD annually in the United States; $159,000–$193,000 USD annually in Canada. Actual pay varies by compensation region, skills, experience, and education.

Company

hirify.global is an AI lending marketplace that partners with banks and credit unions to expand access to affordable credit through data-driven technology.

What you will do

• Develop and evaluate machine-learning models that predict borrower repayment behavior and servicing outcomes.
• Apply causal inference and experimentation to assess loan modifications, payment assistance, and other servicing interventions.
• Translate predictions and treatment-effect estimates into decision algorithms and operational actions.
• Partner with Product and Engineering on payment experiences, autopay, and borrower communications.
• Collaborate with Servicing and Collections Operations on collections strategy and agent-performance insights.
• Identify machine-learning opportunities in servicing areas historically optimized manually and communicate findings to technical and non-technical partners.

Requirements

• Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field.
• 2+ years of experience conducting machine-learning, statistical-modeling, or applied quantitative research in an academic or industry setting.
• Experience applying causal inference methods and experimentation to real-world decisions in an applied science or data science context.
• Expertise in applied statistics, probability, and experimental design for building or evaluating models or interventions.
• Production-quality coding experience in Python, including data manipulation and algorithm implementation.

Nice to have

• PhD in a quantitative field.
• Experience with payment products or payment experiences, including autopay, recurring payments, or payment plans.
• Experience with causal machine learning, treatment-effect modeling, supervised learning, model evaluation, and feature engineering.
• Experience taking exploratory analysis and experimentation through production model development while maintaining analytical rigor and model reliability.
• Ability to turn broad servicing or business problems into structured research questions and actionable recommendations.

Culture & Benefits

• Digital-first work environment with remote work and regular team onsites and in-person meetings.
• Full-time benefits include base pay, bonuses, annual equity grants, retirement savings plans with company matching, and an employee stock purchase plan for eligible US employees.
• Medical, dental, vision, wellness, life insurance, disability, health savings, and supplemental health coverage are available according to country and eligibility.
• Paid time off, sick leave, company holidays, family and parental leave, and family-centered caregiving benefits.
• Annual wellness and productivity allowances, financial wellness resources, mental health support, employee resource groups, and team events.

Hiring process

• Reasonable accommodation is available for applications, interviews, pre-employment testing, and other selection activities by contacting candidate_accommodations@hirify.global.com.