Data Science Intern

<div class="content-intro"><p><strong><span style="text-decoration: underline;"><strong data-stringify-type="bold">Immigration / Work Authorization Notice:</strong></span><strong data-stringify-type="bold"> </strong></strong>Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.</p> <p>iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle’s hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.</p></div><table> <tbody> <tr> <td class="s17"> <div> <p class="s18"><span class="s6">What You’ll Be Part Of</span></p> <p class="s18"><span class="s11">An iSpot Research Data Scien</span><span class="s11">ce Intern</span><span class="s11"><span class="Apple-converted-space">&nbsp;</span>is a<span class="Apple-converted-space">&nbsp;</span></span><span class="s11">great opportunity to help iSpot push the<span class="Apple-converted-space">&nbsp;</span></span><span class="s11">boundaries on what is measurable in the TV viewing and advertising space. The&nbsp;Research Data Science team builds innovative solutions for<span class="Apple-converted-space">&nbsp;</span></span><span class="s11">iSpot’s</span><span class="s11"><span class="Apple-converted-space">&nbsp;</span>audience measures, attribution and lift analytics,&nbsp;creative testing</span><span class="s11">, and artificial intelligence implementations</span><span class="s11">. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.</span></p> <p class="s18"><span class="s6">Potential Responsibilities:</span></p> <div class="s21"><span class="s20">• </span><span class="s6">Data Analysis and Modeling:</span><span class="s11"><span class="Apple-converted-space">&nbsp;</span>Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.</span></div> <div class="s21"><span class="s20">•<span class="Apple-converted-space">&nbsp;</span></span><span class="s6">Machine Learning Model Development:</span><span class="s11"><span class="Apple-converted-space">&nbsp;</span>Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.</span></div> <div class="s21"><span class="s20">•<span class="Apple-converted-space">&nbsp;</span></span><span class="s6">Data Pipeline Development:</span><span class="s11"><span class="Apple-converted-space">&nbsp;</span>Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.</span></div> <div class="s21"><span class="s20">•<span class="Apple-converted-space">&nbsp;</span></span><span class="s6">Research and Innovation:</span><span class="s11"><span class="Apple-converted-space">&nbsp;</span>Stay<span class="Apple-converted-space">&nbsp;</span></span><span class="s11">up-to-date</span><span class="s11"><span class="Apple-converted-space">&nbsp;</span>with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.</span></div> <div class="s21">&nbsp;</div> <div class="s21"><span class="s6">Qualifications and Education Requirements:</span></div> <div class="s22">●<span class="Apple-converted-space">&nbsp;</span><span class="s11">Progress toward a d</span><span class="s11">egree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline.</span></div> <div class="s22">●<span class="Apple-converted-space">&nbsp;</span><span class="s11">Relevant work experience is preferred<span style="color: #3574d6;">.</span></span></div> <div class="s22">&nbsp;</div> <div class="s22"><span class="s6">Preferred Skills:</span></div> <div class="s22">●<span class="Apple-converted-space">&nbsp;</span><span class="s11">Technical understanding of machine learning, statistics, data science, and related fields</span></div> <div class="s22">●<span class="Apple-converted-space">&nbsp;</span><span class="s11">Proficient</span><span class="s11"><span class="Apple-converted-space">&nbsp;</span>user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed</span></div> <div class="s22">●<span class="Apple-converted-space">&nbsp;</span><span class="s11">Expert at wrangling data and conducting thorough data analyses</span></div> <div class="s22">●<span class="Apple-converted-space">&nbsp;</span><span class="s11">Pragmatic, team-oriented; builds rapport and respect</span></div> <div class="s22">●<span class="Apple-converted-space">&nbsp;</span><span class="s11">Strong communication, writing, and critical thinking skills; attention to detail</span></div> </div> </td> </tr> </tbody> </table> <p class="s24">&nbsp;</p> <p class="s26">&nbsp;</p> <p class="s4">&nbsp;</p> <p>&nbsp;</p> <p><em><span style="font-weight: 400;">Target cash compensation range: $35.00USD/hour</span></em></p> <p><em><span style="font-weight: 400;">We are committed to providing competitive, market-informed compensation.</span></em><em><span style="font-weight: 400;"> The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.</span></em></p> <p><em><span style="font-weight: 400;">For more information on total rewards package, go</span></em><a href="https://www.ispot.tv/about/careers"><em><span style="font-weight: 400;"> </span></em><em><span style="font-weight: 400;">HERE</span></em></a></p> <p><span style="text-decoration: underline;"><strong>Hybrid &amp; Flexible Workplace Policy</strong></span></p> <p><span style="font-weight: 400;">iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.&nbsp;</span></p> <p><span style="font-weight: 400;">Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid &amp; flexible workplace policy, please let your recruiter know and they will discuss with you further.</span></p> <p><em><span style="font-weight: 400;">#LI-Hybrid</span></em></p><div class="content-conclusion"><p>If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!</p> <p>iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.</p> <p><strong>California Residents</strong> applying for positions at&nbsp;<a class="c-link" href="http://ispot.tv/" target="_blank" data-stringify-link="http://iSpot.tv" data-sk="tooltip_parent" data-remove-tab-index="true">iSpot</a> can access our California Consumer Privacy Act <a href="https://www.ispot.tv/privacy" target="_blank">here.</a></p></div>