<p>Since 2014, Vinli has been solving the most pressing challenges in the mobility and transportation industry, with technology that's always pushing the edge of what's possible. We look for long-term collaborators, not just short-term customers. Based in Dallas, Texas with a remote team around the world. Our industry-leading subscription services are designed specifically for fleet and insurance organizations.&nbsp;</p>

<h2>Required Qualifications</h2>
<ul>
<li>5+ years working experience as a business-oriented data scientist or data analyst</li>
<li>Master&rsquo;s degree in statistics, mathematics or related analytical discipline preferred (PhD a plus)</li>
<li>Proficiency in statistical models and thinking (probability, regression, segmentation)</li>
<li>High Proficiency in SQL, Python, and Spark</li>
<li>Experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting</li>
<li>Experience communicating the results of analyses to leadership teams to influence the strategy</li>
</ul>
<h2>Preferred Qualifications</h2>
<ul>
<li>Experience in in the automotive &amp; insurance industries and/or experience working with automotive data</li>
<li>Prior experience in price optimization and consumer segmentation for enterprise products</li>
<li>2+ years experience in a fast-paced startup environment</li>
</ul>
<h2>About Our Ideal Candidate</h2>
<ul>
<li>You thrive in challenging environments that require collaborative problem solving.</li>
<li>You prefer to spend your time coding and collaborating, not in meetings.</li>
<li>You feel pride &amp; responsibility seeing the product you worked on meet the real world for the first time.</li>
<li>You are capable of independently prioritizing your duties and still work well with a team.</li>
<li>You can both accept and provide thoughtful, respectful constructive criticism.</li>
</ul>

<p>Vinli is looking for exceptional Data Science talent to add to an already amazing team. You&rsquo;ll have the chance to work with the latest big-data technologies and rich, diverse data sets in an agile, cloud-native environment. As a Sr. Data Scientist at Vinli, you&rsquo;ll work in partnership with a group of amazing engineers to transform your insights into impactful products and beautiful analytics experiences for our customers.</p>
<p>You should have a background in a quantitative or technical field, experience working with large data sets, and experience in data-driven decision making. There will be many opportunities to forge your own path and demonstrate individual excellence here at Vinli, all while pulling together with a team who is ready to support you and eager for your help. Plus, we have a lot of fun together! Join us in creating the future of mobility.</p>
<p>&nbsp;</p>
<h2>Responsibilities</h2>
<ul>
<li>Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our existing and potential future customers interact with automotive data, tangential data sets, and Vinli analytics products</li>
<li>Partner with Product and Engineering teams to solve problems and identify trends and opportunities</li>
<li>Inform, influence, support, and execute our product decisions and product launches</li>
<li>Support Vinli&rsquo;s data science operations in four key ways:
<ul>
<li><strong><em>Product Operations: </em></strong><br>Forecast and propose product team goals. Design and evaluate experiments (A/B Testing). Monitor key product metrics. Explore &amp; understand root causes of changes in metrics. Build and analyze dashboards and reports. Build key data sets to empower operational and exploratory analysis. Evaluate and define metrics.</li>
<li><strong><em>Exploratory Analysis: </em></strong><br>Perform research to develop an understanding of ecosystems, user behaviors, and long-term trends. Identify new levers to help move key metrics. Build models of user behaviors &amp; segmentation for analysis or to power production systems (for example, Crash Detection).</li>
<li><strong><em>Product Leadership: </em></strong><br>Influence product teams through presentation of data-based recommendations. Communicate state of business, experiment results, etc. to product teams. Spread best practices to analytics and product teams. Write case studies to help promote Vinli as a thought leader in the data science &amp; analytics industry.</li>
<li><strong><em>Data Infrastructure: </em></strong><br>Build systems which truly scale by leveraging the latest big data architectures. Automate analyses via high performance ETL pipelines in SQL and Spark.</li>
</ul>
</li>
</ul>