Code for America believes government can work for the people, by the people, in the new digital age, and that government at all levels can and should work well for all people. For more than a decade, we’ve worked to show that with the mindful use of technology, we can break down barriers, meet community needs, and find real solutions.

Our employees build and transform government and community tools and services, making them so good they inspire change. We merge the best parts of technology, nonprofit, and government to help support the people who need it most. With a focus on diversity, equity, inclusion, and deep empathy for partners in government and community organizations and the people that our partners serve, we’re building a movement of motivated change agents driven by meaningful results and lasting impact. At Code for America, you contribute to exciting work while learning and developing in a supportive and flexible environment. Our compensation and benefits are holistic and thoughtfully curated to represent our employees and our mission. Help us drive real generational change that lasts.

Code for America is looking for a talented Staff Data Scientist who will help rigorously measure our impact, manage and analyze the data our products collect, and answer complex quantitative questions clearly and intuitively for internal and external audiences.

 

As of October 27, 2023, Code for America has reached a CBA (collective bargaining agreement) with Code for America Workers United, affiliated with OPEIU (Office Professional Employees International Union, Local 1010). This position is designated as being part of Code for America Workers United. There will be union dues or fees associated with this position and the union will provide that information to you.

 

About the Role: 

Code for America’s Data Scientists use a wide range of statistical and analytical methods to improve user experiences and outcomes across the tax, criminal justice, and safety net services that Code for America delivers. In this role you will lead testing and develop analytics for a portfolio of Code for America products; use diverse data sources to identify and evaluate opportunities for new services; define opportunities to improve existing services; acquire deep domain knowledge to build and communicate our product analytics and estimated impact to the relevant stakeholders; and test hypotheses for improving user experiences or outcomes. To do so, you will work closely with cross-functional teams including qualitative user researchers, designers, software engineers, product managers, program managers, and client success staff.

The Staff Data Scientist will report to a Data Science Manager and there may be up to 10% of travel for this role.

 

In this Position You Will:

• Understand needs from internal & external stakeholders; translate those needs into testing & learning opportunities:
  • Build, maintain, monitor, and analyze product analytics pipelines and dashboards;
  • Analyze administrative and public data to estimate the impact of proposed changes;
  • Build models to sharpen our understanding of where clients are having trouble;
  • Design, administer, and analyze surveys;
  • Take the lead in designing randomized experiments to evaluate product improvements, support their implementation, as well as analyze and interpret results;
  • Conduct equity analyses of our potential or actual work, along racial and demographic dimensions;
  • Clean, combine, and make sense of diverse administrative data.
• Communicate testing outcomes and impact metrics:
  • Explain results and their implications for our services to product managers, program managers, engineers, designers, qualitative researchers and management, as well as government partners;
  • Write findings for our internal knowledge base, presentations, blog posts, best practice guides, and other artifacts that either support our future product work or communicate our impact to current or potential stakeholders and funders.
• Contribute to org-level impact tracking, such as defining how we’ll assess various types of impact for product(s), and how those metrics are rolled up to org-level dashboards;
• Coach and mentor other members of the data science team.

 

About You:

• Technical experience:
  • Fluency with R, python (pandas, scipy, numpy), or another statistics suite;
  • Fluency using SQL to query relational databases;
  • Fluency with product analytics - defining, implementing, analyzing and communicating software product metrics;
  • Experience with collaborative coding tools such as Github or notebooks (RMarkdown, Hex, Google