About the Role

As an Infrastructure Analyst within the Cloud C.O.R.E team you will be a key driver of financial accountability and optimization across our cloud environments. You will play a critical role in cloud billing data analysis, forecasting, and the identification and impact analysis of engineering and financial optimizations. You will leverage your expertise in data analysis, machine learning, and engineering to drive insights, optimize our infrastructure, improve our forecasts, and deliver efficient growth for Uber.

\-\-\-\- What the Candidate Will Do ----

01. Translate complex cloud consumption data into actionable insights for leadership and engineering.
02. Identify and track optimizations and realized savings.
03. Establish key price-performance metrics and partner with engineering to implement price-performance optimizations within production scaling.
04. Define and manage reporting of cloud consumption metrics and KPIs, ensuring transparency, accuracy, and accountability.
05. Establish consumption anomaly detection capabilities and reporting.
06. Partner with engineering and capacity planning teams to optimize resource consumption decision making.
07. Support commitment strategies, ensuring commitment decisions that optimize spend and best serve the business and technical strategy.
08. Embed cloud consumption shift-left principles into engineering design and architecture.
09. Partner with engineers and business leaders to model future consumption and costs to drive strategic decision making.
10. Collaborate on infrastructure demand planning across key infrastructure growth metrics.
11. Partner with engineering to improve consumption and efficiency reporting across internal tooling.

\-\-\-\- Basic Qualifications ----

01. Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
02. 7+ years of industry experience as an Applied or Data Scientist or equivalent (or 4+ years with Ph.D.).
03. 5+ years of industry experience working with Cloud, either at a hyperscaler or as a cloud customer.
04. Familiarity with cloud compute, storage, and data analytics concepts and products, demonstrated through either multiple years of experience on a team building cloud products, or managing the consumption of numerous cloud products, or through accreditation from numerous cloud certifications.
05. Demonstrated experience mentoring and coaching junior analysts or peers, with ability to provide constructive feedback and support professional development.
06. Excellent communication and collaboration skills: Able to lead initiatives across multiple areas and communicate findings with leadership and engineering teams.
07. Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl).
08. Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models.
09. Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.
10. Fluency in MS Excel/Google Sheets for analysis and collaboration with finance teams.

\-\-\-\- Preferred Qualifications ----

1. Experience with cost optimization analysis & implementation, ideally for cloud spend or compute infrastructure.
2. Experience in leading key technical projects and substantially influencing the scope and output of others.
3. Thought leadership to drive cross-functional projects from concept to production.
4. Experience in contributing to performance optimization initiatives through experimentation.
5. Experience with exploratory data analysis, statistical analysis, and model development.

For San Francisco, CA-based roles: The base salary range for this role is USD$211,000 per year - USD$234,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link [https://jobs.uber.com/en/benefits](https://jobs.uber.com/en/benefits).

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.