Overview

Code for America builds technology to make government services work for those who need them most. The Data Science Team supports Code for America’s work in improving access to safety net services, automating record clearance, and making it easier for lower income households to claim tax benefits. This particular role will be embedded on a team working with partner states to improve safety net experiences and outcomes.

You’ll use data to investigate the barriers people face in applying for and keeping benefits. This might involve telling a credible story about potential barriers using case-level data from a government agency, requiring resourcefulness in combining, cleaning, and making sense of tables from different moments in the benefits journey. Or, you might need to design and field a custom survey to investigate why people have trouble completing a required SNAP (food stamps) interview. You’ll work with qualitative researchers to refine and deepen this understanding as well as with engineers and designers to map out possibilities for improvements. You’ll take the lead in designing randomized experiments to evaluate changes, supporting their implementation, as well as analyzing and interpreting results. Finally, you’ll share research findings with technical and non-technical stakeholders at CfA and in government agencies.

We’re looking for someone who is:

  • A thought partner: Enjoys getting to better ideas through discussion, is able to think clearly and systematically and is able to convey that thinking
  • Motivated by being helpful: Is glad to deliver useful results regardless of how technically challenging (and especially, not challenging) a task might be
  • Pragmatic: Excited to solve real-world problems. Can adjust research rigor in light of the organization’s goals
  • Versatile: Extremely flexible with tools and willing to learn enough about a new tool to get something working, capable of quickly scoping and designing new projects,
  • High initiative: Doesn’t hesitate to seek out new data or approaches if it might help improve people’s experiences or outcomes

Requirements:

  • Expert fluency with Python or R
  • Deep, varied experience with data wrangling and data management
  • Solid understanding of a wide range of statistical concepts and methods
  • A master’s degree plus five years of experience or a Ph.D. plus two years of experience

Extra Credit:

  • Personal experience with the justice system, social safety net, workforce training, or other mission-relevant government services.
  • Social science degree, research on government services, research on poverty
  • Survey research experience
  • Large-scale usage data analysis
  • Work experience in or with government agencies

This role is remote, is a full-time opportunity, and will report to a Data Science Manager. Salary depends on level and geography, but ranges from $116k to $176k.

Benefits

Code for America offers full health and dental benefits, a 401k plan with matching funds and a culture that is collaborative, hardworking and fun.

About Code for America

Code for America is a startup non-profit with a great culture and a huge opportunity to make a difference. We work in cross-functional teams, collaboratively and agilely and value high-quality, user-friendly work product. We strive to learn from everything we do and regularly host talks from leaders in the civic technology movement. We respect each other, work hard, and have a great time together.  We’re looking for individuals who share our vision, our values, and our willingness to do what it takes to achieve an ambitious mission over the next few years.

Equal Employment Opportunity

Code for America values a diverse workplace and strongly encourages women, people of color, LGBT individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. Code for America is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.