As a Senior Staff Engineer - Data Scientist, you will support and develop products, perform data analysis on large datasets, develop optimization/statistical models, and collaborate with stakeholders for deployment.  You will engage with the business to translate requirements into analytical solutions, communicate insights, and identify areas for improvement. Responsibilities include analyzing data to discover trends, identifying valuable data sources, automating collection, and collaborating with engineering and product teams.  The role requires expertise in machine learning, statistics, and optimization.

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<div itemprop="description"><section class="job-section" id="st-companyDescription"><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Company Description</h2></div><div class="wysiwyg"><p>We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!</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" itemprop="responsibilities"><ul><li>Work on support and development of product.</li><li>Perform data analysis on large scale data sets.</li><li>Develop optimization and/or statistical models and collaborate with stakeholders to deploy them to solve problems.</li><li>Engage broadly with business to frame, structure and prioritize business requirements into practical analytical solutions.</li><li>Communicate insights and recommend areas for improvement to stakeholders to drive impactful business results.</li><li>Analyze large amounts of information to discover trends and patterns.</li><li>Identify valuable data sources and automate collection processes.</li><li>Collaborate with engineering and product development teams.</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" itemprop="qualifications"><p><strong>Must have Skills:</strong>&nbsp;TensorFlow, Pyspark, Statistics Model.&nbsp;</p><ul><li><strong>Must Have Tech Stack:</strong>&nbsp;Machine learning (Pyspark, sklearn, TensorFlow, Keras) &amp; experimentation (Pyspark, statistics expertise, optimizely, etc.)</li><li>Proven experience as a Data Scientist</li><li>Working experience and knowledge in optimization is must.</li><li>Analytical mindset and business acumen.</li><li>Problem-solving aptitude.</li><li>Excellent communication and presentation skills.</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" itemprop="incentives"><p>We are looking for a Data Scientist who can work between 7:00 am and 5:00 pm PST.&nbsp;</p></div></section></div>

Senior Staff Engineer - Data Scientist