Senior Data Scientist

Posted 7ds ago

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Job Description

Senior Data Scientist leading analytics on the Experiments Team of Movement Labs' progressive power initiatives. Collaborating on data-driven insights to inform strategies against fascism.

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.

Requirements:

  • 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.
  • Excellent health, dental, and vision benefits.
  • 401(k) matching.
  • Unlimited Paid Time Off.
  • This position is eligible for the collective bargaining unit.

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