Uber
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
Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform Uber AI Solutions"
Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions
Own new product experimentation including plan creation, roll-out, and monitoring
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
Develop and track metrics and reporting functions to measure and monitor risk products on our platform
Effectively and proactively communicate insights and drive projects to drive towards team goals
Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts
Basic Qualifications
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
Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries
Working Knowledge of LLMs is a plus
Working experience in AI companies is a plus.
Preferred Qualifications
SQL mastery. Write efficient and complex code in SQL
Experience in Python/R and experimentation, A/B testing, and statistical modelling
Experience in Payments or Compliance with a Product / Tech company
Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
Love of data - you just go get the data you need and turn it into an insightful story.
A well-organized, structured approach to problem-solving
Strong sense of ownership, accountability, and entrepreneurial spirit
Great communicator, problem-solver & confident in decision making
Independent & autonomous, while still a strong teammate
Enthusiastic, self-starting and thrives in changing, agile environments
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.
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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
#J-18808-Ljbffr
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
Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform Uber AI Solutions"
Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions
Own new product experimentation including plan creation, roll-out, and monitoring
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
Develop and track metrics and reporting functions to measure and monitor risk products on our platform
Effectively and proactively communicate insights and drive projects to drive towards team goals
Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts
Basic Qualifications
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
Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries
Working Knowledge of LLMs is a plus
Working experience in AI companies is a plus.
Preferred Qualifications
SQL mastery. Write efficient and complex code in SQL
Experience in Python/R and experimentation, A/B testing, and statistical modelling
Experience in Payments or Compliance with a Product / Tech company
Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
Love of data - you just go get the data you need and turn it into an insightful story.
A well-organized, structured approach to problem-solving
Strong sense of ownership, accountability, and entrepreneurial spirit
Great communicator, problem-solver & confident in decision making
Independent & autonomous, while still a strong teammate
Enthusiastic, self-starting and thrives in changing, agile environments
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.
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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
#J-18808-Ljbffr