Senior Data Scientist

At least five years of experience with the responsibilities described. Exceptional project management skills, with a proven ability to manage complex analytical projects from inception to completion. Experience aligning analyses with strategic objectives. Experience with a variety of non-randomized methods for causal inference. Adept at figuring out what data will be needed and organizing data for analysis. Proficiency in building predictive models, including data preprocessing, feature engineering, model selection, and evaluation. Experience designing, executing, and analyzing randomized controlled trials. Required programming experience: SQL and either R or Python. Expertise and experience in elections, voter contact programs, or voter file data (preferred). Experience with advanced causal inference methods (preferred).

Develop and lead in-depth analyses of voter file data, survey responses, program implementation data, and other relevant datasets. Design creative analytical approaches to answer novel research questions. Perform meta-analyses of randomized controlled trials. Collaborate with the Experiments team to design and execute randomized controlled trials (RCTs). Evaluate the effectiveness of alternative targeting approaches. Develop and implement methodologies to assess heterogeneous treatment effects. Build and validate predictive models to enhance the targeting of voter contact programs. Visualize and present results of analyses to technical and lay audiences.