Manager II Data Science, Tech

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 Ubers 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. Lead Data Science team for Uber AI Solutions and Manage a growing team of 6-8 Data Scientists and Data Analysts
2. Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions
3. Build scalable analytical frameworks to support product analytics and experiments for Ubers New business Platform
4. Own new product experimentation including plan creation, roll-out, and monitoring
5. 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
6. Develop and track metrics and reporting functions to measure and monitor risk products on our platform

7. Effectively and proactively communicate insights and drive projects to drive towards team goals
8. Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
9. Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts

---- Basic Qualifications ----

1. 9+ years of experience (Bachelor) OR 8+ 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 ----

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

Ubers mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - lets move it forward, together.

Offices continue to be central to collaboration and Ubers 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 .