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Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...
Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...
Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...
Uber • New York, USA
Uber is hiring a Scientist II for their UberEats Courier Pricing team to design and develop pricing models and algorithms. You'll leverage machine learning and data analysis to optimize courier earnings. This role requires experience in data-driven decision-making and model validation.
You have a strong background in data science with experience in designing and developing models and algorithms that drive pricing decisions. You are skilled in machine learning and optimization techniques, and you understand how to apply these in a real-world context to solve complex business challenges. Your analytical mindset allows you to conduct deep-dive data analysis to uncover insights and inform strategic decisions. You are comfortable leading large-scale experiments to validate models and ensure they meet business objectives. Collaboration is key for you, and you thrive in cross-functional teams where you can partner closely with product managers and other stakeholders.
Experience with causal inference techniques and a solid understanding of pricing strategies in a marketplace environment would be a plus. Familiarity with the Uber Eats ecosystem or similar platforms can help you hit the ground running.
In this role, you will design, develop, and deploy models and algorithms that power both structural and real-time pricing decisions at a global scale. You will lead the end-to-end design and analysis of large-scale experiments to validate your models and inform strategic pricing decisions. Conducting deep-dive data analysis will be a regular part of your work, allowing you to uncover critical insights and understand product performance. You will also develop and implement key metrics to monitor and evaluate the performance of our pricing systems, ensuring they align with business objectives. Your work will directly impact the efficiency and reliability of the Uber Eats marketplace, making it a vital role within the organization.
Uber provides a collaborative environment where you can grow your skills and make a significant impact. You will have the opportunity to work on high-impact projects that solve core business challenges across diverse verticals, including restaurant delivery, grocery, and retail. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Our culture emphasizes innovation and teamwork, and we are committed to supporting your professional development as you contribute to our mission of optimizing the Uber Eats experience.
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