Data Scientist, Decisions - Mapping

At Lyft, a Most Loved Workplace® certified employer in the Transportation space, Connecting cities, one ride at a time, for a more equitable future..

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>

<p>As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers.</p>

<p>Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in mapping, including:</p>

<ul>

<li>How do we improve the quality of our map data in order to improve our recommendations?</li>

<li>How do we benchmark and measure the success of our services?</li>

<li>How do we validate features of the real world that affect our routing algorithms?</li>

<li>Are we meeting our travel estimation promises to our customers?</li>

</ul>

<h2>Responsibilities:</h2>

<ul>

<li>Leverage data and analytic frameworks to identify opportunities for growth and efficiency</li>

<li>Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals</li>

<li>Design and analyze online experiments; communicate results and act on launch decisions

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