Staff Applied Scientist

For our client, we are seeking a Staff Applied Scientist to join the team of a leader in the Finance & Insurance space. This role will focus on advancing machine learning models that improve credit decisioning and underwriting performance in a highly data-driven environment. You will lead rigorous experimentation, analyze model behavior, and turn research insights into practical methodologies that strengthen decision quality. Partnering closely with Engineering, you will help bring new approaches from concept through deployment while supporting reliable, scalable technical outcomes. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $199,500 – $276,000 annually Responsibilities Research and implement machine learning techniques to enhance underwriting models Design and evaluate model improvements through rigorous experimentation Analyze model performance to ensure reliable decision-making Collaborate with Engineering teams for technical reviews and deployment Translate research findings into actionable recommendations and methodologies Qualifications Graduate degree in a quantitative field such as mathematics, statistics, or computer science 2+ years of experience in machine learning or statistical modeling Proficiency in Python for model development and evaluation Strong foundation in probability, statistics, and machine learning methods Experience in designing experiments to assess model performance Benefits Competitive compensation with base pay, bonuses, and equity grants 401(k) with company match to support retirement planning Comprehensive health coverage including medical, dental, and vision Paid family and parental leave for caregiving support Employee Assistance Program for mental health and life resources Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.