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Locatie:
1000 Amsterdam
Nederland
Contract:
Voltijds, Onbepaalde duur
Datum Gepubliceerd:
09 juni 2024
Staff Applied Scientist - Capacity & Efficiency Engineering
- Uber
- Noord-Holland
- R&D
- 1 week geleden
An ideal candidate will be working closely with a highly cross-functional team, including product management, engineering, tech strategy, and leadership to help drive down the cost of Uber’s infrastructure. A successful candidate will need to demonstrate strong technical skills, including coding, advanced statistics, experimentation, causal inference techniques, and machine learning, while also being able to present results to a senior leadership audience!
What You Will Do
Develop forecasting models and iterate on model refinement to minimize forecasting errors by developing a deeper understanding of how critical 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 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 as an applied scientist in the tech industry
Ph.D. or M.S. degree in Statistics, Economics, Mathematics, Machine Learning, Operations Research, or other quantitative fields, or equivalent industry experience
Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
Advanced knowledge and experience in time-series forecasting, anomaly detection and building ML models in production
Ability to use Python and Apache Spark to work efficiently at scale with large data sets
Proficiency in libraries, languages, technologies and tools like R, SQL, pandas, numpy, pyspark
Preferred Qualifications
Expertise with BI tools such as Tableau
Experience in algorithm development and prototyping
Exposure to the infrastructure domain, particularly capacity engineering
Exposure to financial analysis
Exposure to large scale simulations
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.
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