Fellowship Overview

Data Science Fellows will start the summer with a nose dive into all-things Campaign Zero with a specialized focus on applied data science primarily through programming/scripting work to advance data analysis, data cleaning, database development, platform-based research analysis, etc. Fellows will gain content knowledge related to at least one or more ongoing campaigns.

Fellows will engage in a scope & sequence across three domains over the summer:

1. Campaign Zero 101: Learning the bread-and-butter basics of Campaign Zero’s policy and advocacy model & flagship campaigns;
2. Developing Campaigns 201: Supporting one or more of CZ’s campaigns currently under development.
3. Targeted Programming 301: Engaging in differentiated programming based upon individualized interests and role-specific competencies, including trainings with data backend platforms such as: Snowflake (using SQL), Azure (using Python), and Airtable (using Python).

What Will You Get Out of This Experience?

• Work with staff and fellows, under the direction of a staff member, to determine scope, sequencing, timeline, division of labor, action items, deliverables, weekly priorities, and other strategic planning activities for assigned campaigns;
• Actively participate in all fellowship activities including, but not limited to, lunch-and-learns, social activities, criminal justice 101s, campaign introductory sessions;
• Develop individualized fellowship goals with your summer manager to hone desired skills and experience;
• Build and maintain pipelines to ingest, transform, and normalize data sources to power public campaign websites and internal data analytics;
• Collaborate with campaign managers and/or other summer fellows to automate data ingestion and integration;
• Cleaning and normalizing campaign data;
• Perform one-off, “rapid-response” data analyses;
• Create dashboards and support data visualization for campaign teams;
• Conduct quality assurance and improvement, normalization and validation of CZ campaigns data to ensure accuracy and precision of campaign aims;
• Write and maintain detailed and accessible documentation of methods used, data provenance, data structure changes, and procedures for replication;
• Engage in trainings for technological platforms such as Airtable, Azure, and Snowflake;
• Be paired with a personally selected mentor;
• Work within a feedback-rick organization, giving and receiving actionable feedback during 1:1s and group meetings to other fellows, CZ staff, and share self-reflections through surveys and independent written tasks;
• Participate in externally-led fellow-only DEI sessions;
• Refine facilitation and storytelling skills by leading presentations and icebreakers.

Requirements

• A demonstrated commitment and interest in social justice, preferably with a focus on ending police violence and achieving a world beyond policing.
• Be a strong and effective communicator;
• Adaptability and agility to changing priorities and directions;
• Exceptional time management skills;
• Programming proficiency (Python and SQL);
• Experience with data analysis and visualization;
• Research methods experience

Who Should Apply?

People of all lived experiences, backgrounds, and skill-sets, including but not limited to:

• Outstanding college students, recent graduates, graduate students, and professional/mid-career candidates an unwavering commitment to transforming policing through social justice.
• Applicants must have summer availability and be seeking an intensive social justice-centered experience focused on building knowledge and skills in data science and/or data engineering
• Folks interested in joining an audacious and transformative team embarking on data science and engineering that moves into data-driven policy recommendations with targeted advocacy goals.
• Those interested in diving deep into societal dilemmas and creating, automating, and analyzing data sets to discern real, data-driven policy solutions with a collaborative team.

$4800 per month