About the Role
The Capacity & Efficiency Management (CEM) organization is looking for a Staff Infrastructure Demand Planner to join us in Amsterdam. In this role you will help Uber accurately capture all growth drivers that require Uber's infrastructure to scale to meet product and business needs. You will contribute towards building a broad understanding of Uber's consumption of resources across the entire tech stack, identify cost-savings opportunities, and develop simulation models to help Uber drive cost optimization and improve the accuracy of future forecasts. Close collaboration across multiple engineering organizations will help current and future architectural considerations, enumerate sources of demand, and identify potential consumption optimizations. By partnering closely with data scientists to analyze consumption data, you will help engineering organizations to prioritize efficiency efforts, and improve model accuracy. Your efforts will directly drive significant optimizations with executive visibility in terms of money, time and effort.
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What you'll do
An ideal candidate will be working closely with a highly cross-functional team, including product management, engineering, tech strategy, and leadership to help better understand, forecast, and drive down the cost of Uber's infrastructure. A successful candidate will need to demonstrate strong interpersonal and technical skills, while also being able to present status and recommendations to a senior engineering leadership.
Furthermore, you'll
- Partner closely with platform, technology, and product teams to understand their growth, sources of demand, optimize growth models, identify demand forecasting risks and efficiency opportunities.
- Develop forecasting models and iterate on model refinement to minimize forecasting errors by developing a deeper understanding of how various Uber infrastructure components scale.
- Derive insights from data to identify opportunities for efficiency and resource consumption reduction across the Uber infrastructure.
- Use statistical modeling techniques to develop northstar metrics and KPIs to help provide a more rigorous data-driven approach to manage the Uber infrastructure.
- Develop simulation models for the Uber infrastructure to improve our understanding of the various cost drivers and how to best control them, while managing risk, reliability and availability.
- Conduct ad-hoc analysis, reporting, and build visualizations to communicate findings to Engineering Leadership.
- Present findings to senior leadership to drive business decisions.
Basic Qualifications
- 8+ years of working experience in resource forecasting or demand planning in the tech industry.
- B.S. degree in Computer Science, Statistics, Economics, Mathematics, Machine Learning, Operations Research, or other quantitative fields, or equivalent industry experience.
- Excellent communication skills and a track record of broad stakeholder engagement.
- Knowledge of underlying demand models, mathematical foundations of statistics, optimization, resource economics, and analytics.
- Knowledge and experience in time-series forecasting, anomaly detection and building demand models in production.
- Strong interpersonal skills and attention to detail.
Preferred Qualifications
- Expertise with BI tools such as Tableau.
- Exposure to the infrastructure domain, particularly capacity engineering.
- Exposure to financial analysis.
- Ability to use Python and Apache Spark to work efficiently at scale with large data sets.
- Proficiency in languages, technologies and tools like R, SQL, Spark, Hive.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.