Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models, and experiments
Analyze and interpret large (PB-scale) volumes of transactional, operational, and customer data using proprietary and open-source data tools, platforms, and analytical toolkits
Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives
Be part of a fast-paced industry and organization where time to market is critical
Requirements & Skills:
Undergraduate in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
Relevant work experience in an Analytics or Data Science role will be a plus
Experience with common analysis tools such as SQL, R, and Python
Experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.)
A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models, and programming languages
A natural curiosity to identify, investigate, and explain trends and patterns in data and an ability to analyze and break down complex concepts and technical findings into clear and simple language for communication
A passion for Emerging Technologies related to Blockchain, Machine Learning, and AI
(Good to have) Experience and understanding of Blockchain concepts and mechanics (Defi, NFT, Metaverse, etc..)
