Uber Sr Scientist- Earner Incentives 

United States, West Virginia 

468280709

What You Will Do

• Build statistical, optimization, and machine learning models for applications including pricing, targeting, and experimentation.
• Work with engineers and product managers to turn data science prototypes into robust, reliable solutions.
• Use data to understand product performance and to identify improvement opportunities.
• Solve ambiguous, challenging business problems using data-driven approaches.
• Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
• Develop new methodologies for data science including modeling, coding, analytics, optimization, and experimentation.
• Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive system development end-to-end from conceptualization to final product.

- - - - Basic Qualifications ----

• Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
• 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.
• Ability to use Python, SQL, 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.