$120k - $160k •
Recidiviz is a non-profit technology company based in San Francisco, CA. We build common, open source technical infrastructure to help the criminal justice system end mass incarceration and focus on ongoing iteration towards better outcomes.
Criminal justice data today is inefficient and ineffective: researchers, advocates, policymakers and practitioners each need funding and time for data collection and cleaning (for almost any data at all), and most data collected is too stale by the time it’s compiled to be useful.
Recidiviz has built an open-source platform to ingest data from across data silos, link it, standardize it, and expose it in usable formats to the ecosystem. We’re building some of our own interventions on top of this platform and working with other non-profits to use it to power research at scale, inform agency decision-making, motivate policy changes, and monitor their impact.
Skills: Python, Data Modeling, Data Analytics
Recidiviz is a non-profit technology company based in San Francisco, CA. We build common, open source technical infrastructure to help the criminal justice system end mass incarceration and focus on ongoing iteration towards better outcomes (both for the public and the individuals in the system).
Criminal justice data today is inefficient and ineffective: researchers, advocates, policymakers and practitioners each need funding and time for data collection and cleaning, and most data collected is too stale by the time it’s compiled to be actionable.
Recidiviz has built an open-source platform to ingest data from across data silos, link it, standardize it, and expose it in usable formats to the ecosystem. We’re building some of our own interventions on top of this platform and working with other NGOs to use it to power research at scale, inform agency decision-making, motivate policy changes, and monitor their impact.
Recidiviz was an all-volunteer effort until early-2019. Since February 2019, we’ve built an A-team that brings together technical and criminal justice expertise, participated in YCombinator’s Summer 2019 class, onboarded several states, and are still just getting started. During the Covid-19 crisis, we have worked with over 30 states to help reduce incarceration levels and mitigate the spread of the virus. In the runup to the 2020 national elections and the ensuing legislative sessions, we are working to help produce high-quality analysis of a slate of criminal justice reform policies across the nation.
- Lack of Data: The Missing Link in Criminal Justice Reform
- New Technology Could be Key to Reducing North Dakota's Prison Population
- Emptying Prison Beds to Prevent the Spread of Coronavirus
- Mozilla Announces Funding Awardees
(You can also read a bit more about our founder on Fast Company)
About the Role
As we head into the new year, we have more demand than ever to expand our team’s work. We’re hiring Recidiviz’s next Data Scientist to help develop our understanding of American criminal justice: which interventions and programs lead to positive outcomes and for who, how policy and practice impact the lives of incarcerated and supervised people, which portions of the justice system reverberate the most profound bias, and ultimately finding new avenues for decarceration. This person will need to have strong statistical skills to help guide our methodology, technical capability to work with our engineers and contribute to production, creativity and inquisitiveness to identify and solve open-ended problems, clarity to think through complex and high-dimensional data, and a collaborative, kind nature to add to our culture.
Our datasets are large, diverse, and growing fast. We gather daily data on people’s interactions with criminal justice systems in hundreds of counties and several states, from across the justice systems (courts, corrections, supervision, and so on). In most cases, our data is provided directly by justice agencies that we partner with, providing a richness and freshness that is almost impossible to collect otherwise. Our platform is built around processing criminal justice data at scale to provide the best possible common platform for data science and research. We want you to unlock its fullest potential in helping to reduce mass incarceration and restore communities.
While the primary responsibilities of this role are analytical, we expect that the ideal candidate will be excited and able to develop in other key areas, such as causal inference, data visualization, and leadership--you will play a crucial role in steering the development of our data science team and work.
Although Recidiviz is a non-profit working in criminal justice, we’re culturally a tech company - our executive director comes from a background in product management at Google, our CTO from engineering at Opower, and the rest of the team comes from organizations such as Dropbox, Apple, Google, and Opower. If you've worked in other tech organizations, you’ll feel right at home.
- Collaborating with product management, justice agencies, and researchers to develop new areas of research
- Developing algorithms to solve important analytical problems in criminal justice in a general-purpose and ethical manner, such as evaluating rehabilitative programming by outcomes or projecting the system-wide impact of executive decision-making
- Driving forward our capability to perform rigorous, causal evaluation of policies, practices, and programs
- Contributing to our open source data platform to bring your work into production
- Working closely with our engineering and data analysis teams to define the methodologies for our analyses
- Bachelor’s degree in a technical or mathematical field or equivalent experience
- 3+ years of practical experience finding and building solutions to complex analytical problems
- Strong applied statistics skills, and an understanding of how to apply these to measure and evaluate the effectiveness, accuracy, and fairness of systems
- Strong communicative and descriptive abilities, to help nurture a knowledgeable, data-oriented culture in our organization and in the criminal justice space at large
- Experience with or commitment to making data science work readable, reusable, and ready for production
- High familiarity with Python, R, or other popular, open-source data science environments
- Experience with causal inference in either a research or engineering setting
- Experience in a cross-functional setting, capable of working closely with Product Management, UX/UI, and Engineering
- Experience building software that has been deployed to production
- Comfort working with external partners from diverse backgrounds and worldviews, including government staff, researchers, journalists, and other practitioners in criminal justice reform
- Experience navigating large datasets from the public sector and academic communities, especially related to criminal justice, would be a plus
- Familiarity with our data stack would be a plus, including Google Cloud Platform, BigQuery, Jupyter notebooks, Postgresql, Apache Beam, and Map/Reduce
Lasting change is always built on diversity. Recidiviz is proud to be an equal opportunity workplace, committed to equal employment opportunity regardless of race, color, sexual orientation, ancestry, religion, sex, national origin, age, citizenship, marital status, disability, gender identity, or veteran status. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a special need that requires accommodation, please let us know in your application.