Principal Applied Scientist — Offer Optimization

Upstart; United States; Remote; USD 238,400 - 330,200; Full time

Benefits offered by this job

Competitive compensation package

401(k) with company match

Comprehensive health coverage

Employee Stock Purchase Plan

Paid time off and parental leave

Job summary

Upstart is seeking a Principal Applied Scientist to define the technical direction for offer optimization and conversion modeling systems. You will work across teams to ensure models account for downstream effects and lead initiatives that require deep modeling judgment. This is a high-leverage role focused on integrating machine learning with optimization.

Ideal candidates will possess extensive experience in machine learning, optimization, and cross-functional technical leadership. Remote work is possible, with significant collaboration expected.

Qualifications

• 8+ years of experience building and deploying machine learning models into production at scale.
• Experience with optimization and constrained decision-making problems.
• Experience solving real-world machine learning or data science problems in a high-impact production environment.

Responsibilities

• Define the technical vision for offer decisioning systems.
• Build and guide conversion modeling approaches.
• Drive cross-functional technical alignment across teams.

Skills

Machine learning model deployment

Optimization and operations research

Causal inference

Statistics and probability

Technical initiative leadership

Education

Advanced degree in quantitative field

Job description

Upstart is seeking a Principal Applied Scientist to define the technical direction for offer optimization and conversion modeling systems. You will work across teams to ensure models account for downstream effects and lead initiatives that require deep modeling judgment. This is a high-leverage role focused on integrating machine learning with optimization.

Ideal candidates will possess extensive experience in machine learning, optimization, and cross-functional technical leadership. Remote work is possible, with significant collaboration expected.