Responsibilities
- Develop and lead in-depth analyses of voter file data, survey responses, program implementation data, and other relevant datasets to extract actionable insights and inform strategic decisions
- Design creative analytical approaches to answer novel research questions, translating ambiguous problems into rigorous, data-driven solutions
- Perform meta-analyses of dozens of randomized controlled trials conducted across multiple election cycles to inform future program design
- Collaborate with the Experiments team to design and execute randomized controlled trials (RCTs) aimed at netting Democratic votes and stopping fascism
- Evaluate the effectiveness of alternative targeting approaches using existing data, proposing data-driven recommendations for continuous improvement
- Develop and implement methodologies to assess heterogeneous treatment effects, providing nuanced insights into the impact of interventions across different voter segments
- Build and validate predictive models to enhance the targeting of voter contact programs, optimizing resource allocation and maximizing outreach effectiveness
- Visualize and present results of analyses to technical and lay audiences
Basic qualifications
- 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, ensuring timely delivery of high-quality results
- Experience aligning analyses with strategic objectives, using data-driven insights to inform and influence programmatic decisions and long-term planning
- Experience with a variety of non-randomized methods for causal inference, such as matching and regression discontinuity designs
- 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
Preferred qualifications
- Expertise and experience in elections, voter contact programs, or voter file data.
- Experience with advanced causal inference methods, including heterogeneous treatment effect modeling and machine learning-based approaches
Benefits
- Movement Labs maintains a transparent salary structure with clear levels of advancement. The salary range for this role is $100,000-$119,000 depending on experience, with a geographic COLA added based on employee location.
- Excellent health, dental, and vision benefits, 401(k) matching, and unlimited Paid Time Off.
- This position is eligible for the collective bargaining unit.
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