Wait, What Do You Do?

<div class="ewa-rteLine">Schedule: FT</div> <div class="ewa-rteLine">Job Type: Hybrid</div> <div class="ewa-rteLine">Salary Type: Salary</div> <div class="ewa-rteLine">Req #: 2017</div> About the Role We are seeking an exceptionally passionate person to join our Data Science team to architect the future of Uber Freight Analytics. In this role, you will go beyond standard reporting to drive an analytics roadmap that unlocks Operational Excellence (OpEx) across the business. You will deliver advanced descriptive and predictive solutions to Operations, Finance, and Logistics leadership, leveraging statistical modeling and machine learning to optimize logistics workflows, identify cost-saving opportunities, and provide the groundwork for AI-driven automation. You will collaborate across functions to solve complex problems, create massive operational efficiencies, and ensure every initiative is backed by a rigorous, data-driven impact attribution. What the Candidate Will Do <ul> <li>Perform deep-dive exploratory and statistical analysis to uncover hidden inefficiencies in global logistics networks and deploy ML models that drive automated decision-making.</li> <li>Apply advanced statistical analysis to identify OpEx opportunities and provide the data-driven insights necessary to architect and facilitate large-scale AI implementations.</li> <li>Develop robust attribution frameworks to quantify the financial and operational impact of process improvements, ensuring alignment with core company priorities and cost-reduction targets.</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> <li>Wrangle and synthesize fragmented data from multiple providers and internal systems to create a 'single source of truth' for operational performance</li> </ul> Basic Qualifications <ul> <li>Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field</li> <li>3 years of related experience</li> <li>Experience with SQL, Python</li> </ul> Preferred Qualifications <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 supply chain / logistics domain</li> </ul> About Uber Freight  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 <a href="http://www.uberfreight.com/" target="_blank" data-outlook-id="c2943942-f833-4fd0-9ff7-04176c244bab" data-auth="NotApplicable" data-linkindex="0">www.uberfreight.com</a>. Candidate Privacy Notice 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>. EEOC 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.

Data Scientist III