About the role
<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><p class="s18"><strong><span class="s6">What You’ll Be Part Of:</span></strong></p> <p class="s19"><span class="s11">An iSpot Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The 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, and creative testing. 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"><strong><span class="s6">Responsibilities:</span></strong></p> <div class="s21"> <ul> <li><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></li> <li>Machine Learning Model Development:<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></li> <li>Data Pipeline Development:<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></li>