About this role
<div class="ewa-rteLine"><strong>Schedule: Full Time Employment</strong></div>
<div class="ewa-rteLine"><strong>Job Type: Hybrid</strong></div>
<div class="ewa-rteLine"><strong>Salary Type: Salary</strong></div>
<div class="ewa-rteLine"><strong>Req #: 2124</strong></div>
<p><strong> </strong></p>
<p><strong>About the Role</strong></p>
<p>We are seeking an exceptionally passionate person to join our Marketplace Data Science team. As a Data Scientist focused on Carrier Fraud, you will be driving the development and evaluation of metrics, products and models to minimize fraud within Uber Freight’s digital marketplace. You will need to collaborate effectively with product managers, engineers, operations, and business stakeholders, and other members of the Data Science team to solve problems, create efficiencies, and successfully deliver against high organizational standards.</p>
<p> </p>
<p><strong>What the Candidate Will Do</strong></p>
<ul>
<li>Perform data analysis to investigate patterns underlying fraud incidents</li>
<li>Perform statistical analysis to estimate the impact of new fraud prevention techniques before deployment</li>
<li>Design, execute and analyze A/B and marketplace experiments in order to directly measure the business impact of new fraud prevention products on a variety of metrics</li>
<li>Work efficiently at scale with large data sets </li>
<li>Collaborate with cross-functional teams such as product, engineering, and operations to drive system development end-to-end from conceptualization to productization</li>
</ul>
<p> </p>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li>Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics or related field</li>
<li>3 years of related experience</li>
<li>Experience with SQL, Python</li>
</ul>
<p> </p>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Masters with 3 years of experience or Bachelors with 5 years of relevant experience</li>
<li>Experience with orchestration tools (e.g., Airflow)</li>
<li>Experience with Spark</li>
<li>Advanced knowledge of experiment design and statistical methods </li>
<li>Strong presentation skills</li>
<li>Experience working in a digital marketplace and/or fraud domain</li>
</ul>
<p> </p>
<p><strong>Benefits & Compensation for U.S. Employees</strong></p>
<p><span data-olk-copy-source="MessageBody">Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.</span></p>
<p> </p>
<p><strong><span data-contrast="auto"><span data-ccp-parastyle="heading 3">About Uber Freight</span></span></strong><span data-ccp-props="{"134245418":true,"134245529":true,"201341983":0,"335559738":160,"335559739":80,"335559740":278}"> </span></p>
<p><span data-olk-copy-source="MessageBody">Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real‑time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at </span><u><a href="https://www.globenewswire.com/Tracker?data=aZt5hy_vlUfB4JV2bXcy07lYm1tYPcRFnoBdHC8B5cRzNB_rzPRfHVnpFvogIAjc3WyyZLuFOsz2D8DhJdMdEvmexZ9Ike76l9AqXr036cw=" target="_blank" data-auth="NotApplicable" data-linkindex="0">www.uberfreight.com</a></u>.</p>
<p> </p>
<p><strong><span data-contrast="auto"><span data-ccp-parastyle="heading 3">Candidate Privacy Notice</span></span></strong></p>
<p><span class="EOP SCXW16354266 BCX0" data-ccp-props="{"201341983":0,"335559739":160,"335559740":278}">Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our <a href="https://www.uberfreight.com/candidate-privacy-notice/">Candidate Privacy Notice</a>.</span></p>
<p> </p>
<p><strong><span data-contrast="auto">EEOC</span></strong></p>
<p><span data-contrast="auto"><span class="TextRun SCXW94160776 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW94160776 BCX0">Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</span></span><span class="EOP SCXW94160776 BCX0" data-ccp-props="{"201341983":0,"335559739":160,"335559740":278}"> </span></span></p>
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<p><span data-contrast="auto"><span class="EOP SCXW94160776 BCX0" data-ccp-props="{"201341983":0,"335559739":160,"335559740":278}">For Chicago-based roles: The salary range for this role is $94,000.00 - $115,000.00 per year</span></span></p>