Decision Scientist II

Key Skills

Business Analytics, Data Analytics, Effective communication skills, Python Programming, R Programming, SAS, SQL

Job Description

• Build scalable analytical frameworks to support product analytics for Uber's Payment Risk, Compliance and Identity Platform
• Building & maintaining critical data pipelines, insight boards & monitoring rules
• Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to ensure 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 platform health
• Effectively and proactively communicate insights and drive projects to drive towards team goals
• Proactively seek out opportunities to build new solutions to address Compliance, Risk and Identity challenges
• Assist in new product experimentation including plan creation, roll-out, and monitoring

---- Basic Qualifications --—

• 3+ years of total experience (Bachelor's Degree) OR 1+ years of experience (with Master's Degree) in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science
• Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
• Experience in statistical languages (SQL, SAS, R) and/or in modern programming languages (Python)
• Past experience with a Tech/Product/ Analytics Services company serving businesses with millions of customers on multiple platforms and countries

Skill Set Required 

• SQL mastery. Write efficient and complex code in SQL
• Experience in Python/R and experimentation, A/B testing, and statistical modeling is a plus
• Experience in Payments or Compliance or Risk domains with a Product / Tech / Analytics Comsulting Services company is helpful
• Proven ability to handle and visualize large datasets, explore and utilize raw data feeds
• Love of data - One should have the zeal to just go get the required data and turn it into an informative 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

About Uber

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.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

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.