Uber Scientist II - Earner 

United States, West Virginia 

199545839

About the Role

- - - - What the Candidate Will Do ----

• Refine ambiguous questions and generate new hypotheses that benefit product through a deep understanding of the data, our customers, and our business
• Deliver end-to-end solutions rather than algorithms, working closely with the engineers on the team to productionize, scale, and deploy models world-wide.
• Use statistical techniques to measure success, develop northstar metrics and KPIs to help provide a more rigorous data-driven approach in close partnership with Product and other subject areas such as engineering, operations and marketing
• Design experiments and interpret the results to draw detailed and impactful conclusions.
• Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
• Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.
• Present findings to senior leadership to drive business decisions

- - - - Basic Qualifications ----

• Ph.D., MS or Bachelors degree in Economics, Operations Research, Statistics, Computer Science, or other quantitative field
• 2+ years of industry experience as an Applied or Data Scientist or equivalent
• Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics
• Ability to use a language like Python or R to work efficiently at scale with large data sets
• Significant experience in setting up and evaluation of complex experiments
• Experience with exploratory data analysis, statistical analysis and testing, and model development
• Knowledge in machine learning techniques applicable to marketplace, platforms
• Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop

- - - - Preferred Qualifications ----

• Advanced SQL expertise
• Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways.
• Proven aptitude toward Data Storytelling and Root Cause Analysis using data
• Advanced understanding of statistics, causal inference, and machine learning
• Experience designing and analyzing large scale online experiments
• Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail
• Ability to work in a self-guided manner
• Ability to mentor, coach and develop junior team members
• Superb communication and organisation skills

For New York, NY-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year.