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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
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .
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