**About the Role**

At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and “Uber AI Solutions” leads many of those capabilities. We offer 30+ advanced capabilities, including image and video annotation, text labeling, 3D point cloud processing, semantic segmentation, intent tagging, sentiment detection, document transcription, synthetic data generation, object tracking, and LiDAR annotation.

The tech+ops solution coupled with Uber’s strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry.

**What the Candidate Will Need / Bonus Points**

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

1. Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform “Uber AI Solutions”
2. Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions
3. Own new product experimentation including plan creation, roll-out, and monitoring
4. Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
5. Develop and track metrics and reporting functions to measure and monitor risk products on our platform
6. Effectively and proactively communicate insights and drive projects to drive towards team goals
7. Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
8. Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts

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

1. 6+ years of experience (Bachelor) OR 5+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science
2. Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
3. Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
4. Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries
5. Working Knowledge of LLMs is a plus
6. Working experience in AI companies is a plus.

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

01. SQL mastery. Write efficient and complex code in SQL
02. Experience in Python/R and experimentation, A/B testing, and statistical modelling
03. Experience in Payments or Compliance with a Product / Tech company
04. Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
05. Love of data - you just go get the data you need and turn it into an insightful story.
06. A well-organized, structured approach to problem-solving
07. Strong sense of ownership, accountability, and entrepreneurial spirit
08. Great communicator, problem-solver & confident in decision making
09. Independent & autonomous, while still a strong teammate
10. Enthusiastic, self-starting and thrives in changing, agile environments
11. LLMs, prompt engg is a plus

For San Francisco, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 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](https://www.uber.com/careers/benefits).

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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](https://forms.gle/aDWTk9k6xtMU25Y5A).

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.