About the Role
The Global Intelligence Team focuses on making Uber take important marketplace decisions with better data and algorithms. The ambitious problems include modeling complex market-level dynamics, rider and driver choices, cross-service decisions across rides/eats, and fine-tuning Uber’s pricing with data/algorithms from this team. The software engineers on the team use substantial amounts of data to address these challenges, building scalable engineering solutions. We are looking for people who are passionate about solving ambitious business/product issues with well-trained data engineering expertise, with prior experience or interest in science models and methodologies and who are also passionate about seeking the truth via deep-diving into the complicated structured and unstructured data.
What You’ll Do
- Make architectural and other decisions for the team with minimum oversight.
- Work on creating a platform that powers data driven decision making for Uber Rides and Eats line of business.
- Work closely with the science team to implement and productionize the models.
- Design and develop new systems to empower fast data-driven decisions
- Build distributed backend systems serving real-time analytics and machine learning features at Uber scale.
- Work with the product and science team to build and drive technical roadmap and vision for the team.
Basic Qualifications
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PhD or equivalent in Computer Science, Engineering, Mathematics or related field OR 3-years full-time Software Engineering work experience, WHICH INCLUDES 2-years total technical software engineering experience in one or more of the following areas:
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Programming and scripting language (e.g. Python, SQL, Java/Scala)
- Big data frameworks (e.g. Spark, Flink, Presto), data modeling, and writing ETLs
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Designing end-to-end data solutions and architecture
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Experience working with multiple cross functional teams (product, science,product ops etc)
- Experience with data-driven architecture and systems design
- Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra) and data warehousing architecture and data modeling.
Preferred Qualifications
- 5 years of full-time engineering experience with experience mentoring and managing junior engineers in the team.
- Experience or interest in science models and methodologies.
- Experience building complex systems and knowledge of Hadoop related technologies such as HDFS, Kafka, Hive.
- A passion for taking ownership. You pride yourself on efficient monitoring, strong documentation, and proper test coverage and you call something “done” only when these are in place.
- Building and earning respect within the team and peers. You believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement and you help others by returning the favor.
- BS/MS/Phd in Computer Science or related field
For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.
For all US locations, you will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard 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. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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.
