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Uber Scientist II 
United States, West Virginia 
695349387

Yesterday

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

- - - - Basic Qualifications ----

Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.

4+ years experience as a Data Scientist, Machine learning engineer, or other types of data science-focused functions

Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics

Hands-on experience building and deployment ML models

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 modern 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

Superb communication and organisation skills

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