below marketmost similar roles pay hereabove market
This role pays less than
68%
of similar roles. Most pay
$162,000–$241,906
— the blue band above.
At the midpoint, this role pays about
$169k
versus about
$202k
for comparable roles.
Based on 240 similar postings.
Employer
About Upstart
Upstart is an AI lending platform that partners with banks and credit unions to expand access to affordable credit using non-traditional variables.
Upstart currently has
54 open roles
on FindRole.
Listed pay typically runs
$166,900–$230,900
across 53 roles with salary data.
The Applied Scientist joins the Machine Learning Growth team to optimize borrower acquisition across various marketing channels. In this role, you will improve existing models and develop new approaches to expand the team's impact. Your day-to-day responsibilities include analyzing historical campaign performance, researching new features and model architectures, and designing statistically rigorous experiments to measure causal impact. You will build reusable data pipelines and translate business problems into production-ready solutions for direct mail, email, and digital marketing. The position requires proficiency in Python for data analysis and machine learning model development, alongside experience in causal inference and experimental design. You will solve complex problems by navigating messy datasets to improve prospect selection and support diverse marketing use cases including personal loans and home equity lines of credit.
What does a Applied Scientist earn?
Median $208800 from 61 postings across 10 companies.
Python
Machine Learning
Causal Inference
Statistical Modeling
PySpark
Optimization
Experimental Design
Marketing Mix Modeling
Multi-Touch Attribution
Distributed Data Processing
Classification
Production ML Systems
Customer Lifetime Value
Next-Best-Action Systems
Python
Machine Learning
Causal Inference
Statistical Modeling
PySpark
Optimization
Experimental Design
Marketing Mix Modeling
Multi-touch Attribution
Classification
Distributed Data Processing
Production ML Systems
Customer Lifetime Value
Next-best-action systems