Data Science Intern | Fully Remote US at HireVue Inc

United States

<section class="job-section" id="st-companyDescription"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Company Description</h2></div><div class="wysiwyg spl-wysiwyg"><p>Hirevue is where hiring happens &#x2013; transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, Hirevue&#x2019;s end-to-end hiring platform features video interviewing, assessments and conversational AI. The industry leader in science backed, modern hiring solutions powered by ethical AI,&#xa0;Hirevue has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1200 pioneering customers around the globe.</p></div></section><section class="job-section" id="st-jobDescription"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Job Description</h2></div><div class="wysiwyg spl-wysiwyg" itemprop="responsibilities"><p>As a <strong>Data Science Intern</strong>, you will support ongoing research initiatives that keep our enterprise products and our clients&apos; hiring processes on the absolute cutting edge and leverage machine learning to shape the future of hiring.</p><p>Partnering closely with our world-class data scientists and cross-functional partners in Product Science and Product and Technology, you will have the opportunity to build, validate, and scale machine learning models and agentic workflows. You will also conduct applied research on systems and processes to continuously advance our natural language processing (NLP) and ethical AI capabilities.</p><p><strong>Essential Duties and Responsibilities</strong></p><p>Applied Research &amp; Modeling</p><ul><li><p>Support ongoing research initiatives that keep us on the cutting edge, including in agentic workflow development</p></li><li><p>Work with machine learning models to build products and conduct research</p></li><li><p>Write code to develop prototypes and utilities to extend or improve our product suite</p></li></ul><p>Data Preparation &amp; Quality</p><ul><li><p>Drive the preparation of data used to train deep learning models and score unstructured data</p></li><li><p>Assure quality of our software in terms of content, scoring, and functionality</p></li><li><p>Performance modeling and data analysis</p></li></ul></div></section><section class="job-section" id="st-qualifications"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Qualifications</h2></div><div class="wysiwyg spl-wysiwyg" itemprop="qualifications"><p><strong>Required</strong></p><ul><li><p>Bachelor&#x2019;s degree required, with a Master&#x2019;s degree or PhD in progress in a quantitative/programming field (Computer Science, Statistics, Mathematics, Engineering, Psychology, Economics, Data Science, or related)</p></li><li><p>Understanding of statistics, machine learning, and deep learning fundamentals</p></li><li><p>Proficiency in Python, including common ML libraries (e.g., numpy, pandas, scikit-learn)</p></li><li><p>Experience with version control (e.g., Git)</p></li><li><p>Ability to analyze large datasets and draw meaningful, actionable insights</p></li><li><p>Strong problem-solving skills &#x2014; able to synthesize information from multiple sources to solve problems</p></li><li><p>Team player with strong collaboration and communication skills; comfortable working closely with data scientists, engineers, and I/O Psychologists</p></li><li><p>Self-motivated and able to work effectively with limited supervision; strong prioritization skills</p></li></ul><p><strong>Preferred</strong></p><ul><li><p>Awareness of state of the art methods in machine learning, deep learning, NLP, and/or generative AI</p></li><li><p>Exposure to large language models (LLMs) and generative AI (e.g., prompt engineering, fine-tuning, agentic design patterns, agentic evaluation methods)</p></li><li><p>Familiarity with SQL and database querying</p></li><li><p>Familiarity with cloud platforms (AWS preferred) for ML workflows</p></li></ul></div></section><section class="job-section" id="st-additionalInformation"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Additional Information</h2></div><div class="wysiwyg spl-wysiwyg" itemprop="incentives"><p>All team members at Hirevue are expected to embody our core values, which are the H.E.A.R.T. of Hirevue. They are: Hero for our Customers, Enjoy the Journey, Always do the Right Thing, Reach Forwards, and Take Action and Go.&#xa0;</p><p>Hirevue takes security seriously and has measures in place to protect work-related data in a remote setting. Our organization has implemented a BYOD (Bring Your Own Device) policy, HireVue uses Google User Enrollment, which ensures personal apps and data are kept separate from work apps and data should you choose to use your personal device for work purposes. HireVue can manage only the work-related aspects of the device, ensuring privacy for personal data.</p><p><em>Hirevue is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category protected under the law. HireVue is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. All your information will be kept confidential according to EEO guidelines.</em></p><p><em>Hirevue is NOT currently hiring in:</em></p><p><em>AK, HI, IA, ME, MS, NM or WV.</em></p><p><em>#remote-us</em></p></div></section>