Summer 2026 - Data Science Intern, Research Central at Vera Institute of Justice
Brooklyn, New YorkInternshipResearch CentralPosted about 1 month ago
Apply with PipelineAbout the Role
<h3><span style="font-size: 12pt;"><strong>About the role:</strong></span></h3>
<p><span data-contrast="auto">The Data Science</span> <span data-contrast="auto">Intern for Research's Central Data Science team is an opportunity for a college student or recent grad to immerse themselves in a data role at a non-profit organization. Their work will support a pilot project that supports a national initiative by using machine learning models to build more robust datasets for research. </span><span data-ccp-props="{"469777462":[720],"469777927":[0],"469777928":[8]}"> </span></p>
<p><span data-contrast="auto">The data science intern will work closely with the Senior Data Scientist on setting up the data and infrastructure required to enable the use of ML and AI on messy administrative data. They will gain practical experience in working with realistic datasets to enable impactful analysis on the criminal legal system. They will participate in all day-to-day team activities, ranging from project planning and execution, infrastructure discussions, code review sessions, and more. They will work directly with a senior data scientist on a range of responsibilities including data collection, document review, data prep, and analysis.</span><span data-ccp-props="{"201341983":0,"335559740":259,"469777462":[720],"469777927":[0],"469777928":[8]}"> </span></p>
<p><strong><span data-contrast="none">1. Document Review & Data Prep </span><span data-ccp-props="{}"> </span></strong></p>
<ul>
<li><span data-contrast="none">Review files provided by Vera’s external partner to identify relevant documents for data extraction </span><span data-ccp-props="{"201341983":0,"335559740":259}"> </span></li>
<li><span data-contrast="none">Review police reports and other text data to label and create dataset structures</span><span data-ccp-props="{"201341983":0,"335559740":259}"> </span></li>
<li><span data-contrast="none">Review semi-structured text data fields to condense into coded categorical variables</span><span data-ccp-props="{"201341983":0,"335559740":259}"> </span></li>
</ul>
<p><strong><span data-contrast="auto">2. Automated data collection and codebase maintenance</span><span data-ccp-props="{"201341983":0,"335559685":360,"335559740":259}"> </span></strong></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="13" data-list-defn-props="{"134224900":false,"335551500":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Contribute code to existing automated data collection system as needed for the pilot’s evolving requirements</span><span data-ccp-props="{"201341983":0,"335559740":259}"> </span></li>
</ul>
<p><strong><span data-contrast="auto">3. Data Analysis</span><span data-ccp-props="{"201341983":0,"335559740":259}"> </span></strong></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="13" data-list-defn-props="{"134224900":false,"335551500":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Develop descriptive and other summary statistics in support of model development, validation, and evaluation </span><span data-ccp-props="{}"> </span></li>
<li data-leveltext="" data-font="Symbol" data-listid="13" data-list-defn-props="{"134224900":false,"335551500":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1"><span data-ccp-props="{}"><span class="TextRun SCXW215176651 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW215176651 BCX0">Support senior data </span><span class="NormalTextRun SCXW215176651 BCX0">scientist</span><span class="NormalTextRun SCXW215176651 BCX0"> in other analytical tasks as needed</span></span><span class="EOP SCXW215176651 BCX0" data-ccp-props="{}"> </span></span></li>
</ul>
<h3><span style="font-size: 12pt;"><strong>What qualifications are we looking for?</strong></span></h3>
<ul>
<li><span data-contrast="none">Currently enrolled in </span><span data-contrast="none">or recent graduate of </span><span data-contrast="none">a college program in data science, a computational social science, statistics, public policy, or a related discipline</span><span data-ccp-props="{"335557856":16777215}"> </span></li>
<li><span data-contrast="none">Commitment to using research and analysis to end mass incarceration and undo racism and inequity in the criminal legal system</span><span data-ccp-props="{}"> </span></li>
<li><span data-contrast="none">Proficiency developing code collaboratively using GitHub</span><span data-ccp-props="{"335557856":16777215}"> </span></li>
</ul>
<p><strong><span data-contrast="auto">Preferred</span></strong><span data-contrast="auto">:</span><span data-ccp-props="{"335557856":16777215}"> </span></p>
<ul>
<li data-leveltext="" data-font="Symbol" data-listid="13" data-list-defn-props="{"134224900":false,"335551500":0,"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1"><span data-contrast="none">Experience working with messy administrative datasets in an academic or professional setting</span><span data-ccp-props="{"201341983":0,"335557856":16777215,"335559740":259}"> </span></li>
</ul>
<h3></h3>
<h3><span style="font-size: 12pt;"><strong>Technical knowledge helpful for this role:</strong></span></h3>
<h3></h3>
<p><span data-contrast="auto">The current tech stack uses the following technologies and working familiarity in the following is preferred: </span><span data-ccp-props="{}"> </span></p>
<ul>
<li><span data-contrast="auto">Python and/or R</span><span data-ccp-props="{}"> </span></li>
<li><span data-contrast="auto">GitHub</span><span data-ccp-props="{}"> </span></li>
<li><span data-contrast="auto">Cloud Technologies such as Microsoft Azure</span><span data-ccp-props="{"201341983":0,"335559740":259}"> </span></li>
<li><span data-contrast="auto">SQL & relational databases</span><span data-ccp-props="{"201341983":0,"335559740":259}"> </span></li>
<li><span data-contrast="auto">Command Line </span><span data-ccp-props="{"201341983":0,"335559740":259}"> </span></li>
</ul>
<h3><span style="font-size: 12pt;"><strong>Location:</strong></span></h3>
<p>Please note this role will report to our<strong> Brooklyn, NY </strong>office. Vera employees adhere to a hybrid schedule and are in-office on an alternating schedule that generally amounts to 10 days per month.</p>
<h3><span style="font-size: 12pt;"><strong>Compensation and Benefits:</strong></span></h3>
<p>The compensation range for this position is <strong>$17.00-$25.00</strong>. Actual salaries will vary depending on factors including but not limited to experience and performance.</p>
<div class="p-rich_text_section">
<h3><strong>Application Process:</strong></h3>
</div>
<div class="p-rich_text_section">To receive further consideration for this career opportunity, applicants are asked preliminary questions about logistics, their interest and qualifications. Selected candidates may be required to provide additional details about their experience via a phone screen/form in advance of an invitation for a virtual or in-person interview with the team. Some searches may explore scenarios during the interview process and/or an assessment prior to reference checks and a hiring decision.</div>
<h3><span style="font-size: 12pt;"><strong>Applications may also be faxed to:</strong></span></h3>
<p>ATTN: People, Place, and Culture / [<strong>JOBTITLE]</strong><br>Vera Institute of Justice<br>34 35th St, Suite 4-2A, Brooklyn, NY 11232<br>Fax: (212) 941-9407<br>Please use only one method (online, mail or fax) of submission.<br>No phone calls, please. Only applicants selected for interviews will be contacted.</p>
<p><em>Vera is an equal opportunity employer. All qualified applicants will be considered for employment without unlawful discrimination based on race, color, creed, national origin, sex, age, disability, marital status, sexual orientation, military status, prior record of arrest or conviction, citizenship status, current employment status, or caregiver status. </em></p>
<p><em>Vera works to advance justice, particularly racial justice, in an increasingly multicultural country and globally connected world. We value diverse experiences, including with regard to educational background and justice system contact, and depend on a diverse staff to carry out our mission. </em></p>
<p><em>For more information about Vera, please visit </em><a href="http://www.vera.org/" data-cke-saved-href="http://www.vera.org/"><em>www.vera.org</em></a>.</p>