Data Scientist

We are currently looking to hire for the role of Decision Scientist I within the above scope, where one will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions including but not limited to statistical models, monitoring solutions & analytical frameworks.

Responsibilities

• 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

Requirements

• 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
• 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 visualise 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-organised, 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