Staff Data Scientist, Pricing & Donor Economics

GoFundMe; San Francisco (CA); Hybrid; USD 179,500 - 269,500; Full time

Benefits offered by this job

Comprehensive healthcare benefits

Flexible time-off policies

Financial assistance for hybrid work

Job summary

A leading crowdfunding platform in San Francisco is looking for a Staff Data Scientist to enhance pricing strategies through economic analysis and machine learning. This role involves optimizing donation conversion rates and improving donor experiences. The ideal candidate will have a deep understanding of econometrics, causal inference, and practical AI applications, suitable for those with a Ph.D. in Economics or over 8 years of industry experience. The position is hybrid, requiring in-office attendance three times a week.

Qualifications

• Ph.D. or 8+ years industry experience in data science or applied economics.
• Strong foundation in economic theory and causal inference.
• Ability to address complex decision-making problems.

Responsibilities

• Own donation pricing optimization end-to-end.
• Model human behavior using economics and AI.
• Lead causative learning and experimentation.

Skills

Econometrics

Causal inference

Behavioral modeling

Experiment design

Machine learning

Education

Ph.D. in Economics or related field

8+ years in data science or applied economics

Tools

Python

SQL

Job description

A leading crowdfunding platform in San Francisco is looking for a Staff Data Scientist to enhance pricing strategies through economic analysis and machine learning. This role involves optimizing donation conversion rates and improving donor experiences. The ideal candidate will have a deep understanding of econometrics, causal inference, and practical AI applications, suitable for those with a Ph.D. in Economics or over 8 years of industry experience. The position is hybrid, requiring in-office attendance three times a week.