Applied Scientist

Upstart’s Partnerships team helps drive customer acquisition and originations through partner offers. The team is focused on improving how offers are optimized across the customer journey.

As the Applied Scientist on the Partnerships team, you’ll use causal inference, experimentation, and machine learning to help determine which offers are most likely to support customer conversion. You’ll take on a greenfield optimization opportunity, moving from research and measurement to production-ready models and decision strategies.

How you’ll make an impact

• Develop causal machine-learning models to optimize customer offers at different points in the funnel, from marketing-time decisions with limited information to decisions informed by customer activity on our site.
• Analyze and interpret complex data, identify gaps in what we know, and design experiments to gather evidence for building and evaluating optimization models.
• Measure the impact of offer changes with statistically rigorous experiments and evaluations.
• Translate research and results into clear recommendations, decision strategies, and next steps for business and technical partners.
• Build production-ready models and code for use in offer selection.
• Partner with Partnerships leadership, Product, Engineering, peer machine-learning teams, and model-risk partners to align on strategy, implementation, and methodology.

Minimum Qualifications

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