Senior Scientist - Earner

at  Uber

About the Role
Our mission is create the best platform for our drivers. We are focusing on building a personalized experience that empowers earners to earn and progress effectively at Uber. We are looking for an experienced candidate who has the ability to break complex problems down into executable parts for testing, and is eager to take on new challenges.

What you will do

• Propose, design, and analyze large scale online experiments
• Define and implement metrics to measure product performance
• Present findings to business and executive audiences
• Collaborate with engineers and product managers to implement ideas and plan future roadmaps

Basic Qualifications

• Ph.D., MS or Bachelors degree in Economics, Operations Research, Statistics, Computer Science, or other quantitative field
• 4+ years of industry experience as an Applied or Data Scientist or equivalent
• Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl)
• Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R
• Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets
• Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators

Preferred Qualifications

• Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
• Experience leading key technical projects and substantially influencing the scope and output of others
• Knowledge of experimental design and analysis or experience with exploratory data analysis and model development
• Experience communicating qualitative research methods and findings to non-qualitative researchers
• Track record of engaging senior leadership effectively to build understanding of and consensus for the viewpoints of the team
• Solid theoretical and applied ML skills and a strong background in mathematics and stats
• Solid Programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala
• Expert in one of the following areas: Deep learning, ML System Design, A/B experimentation design, Causal Inference
• Experience of working with large dataset using Spark, Hive, HDFS is desired
• Analyze large data sets to identify behavior trends among good users and bad actors, using statistics, data mining, and machine learning techniques
• Thought leadership to drive multi-functional projects from concept to production.

• Propose, design, and analyze large scale online experiments
• Define and implement metrics to measure product performance
• Present findings to business and executive audiences
• Collaborate with engineers and product managers to implement ideas and plan future roadmap