Responsibilities
- Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
- Analyse and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
- Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
- Be part of a fast-paced industry and organisation where time to market is critical
Requirements
Degree in a quantitative discipline, such as Mathematics / Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences3-5 years of full-time work experience in an Analytics or Data Science roleA 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 languagesA natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communicationPrior internal / client-facing consulting / business transformation experience preferred.A passion for Emerging Technologies related to Blockchain, Machine Learning and AICompetency in two or more of the following :
An analytical software (e.g. R, SAS)A data visualisation tool (e.g. Qlikview, Tableau, PowerBI)A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)Programming (e.g. VBA, C++, Java, Python)Why Binance
Shape the future with the world’s leading blockchain ecosystemCollaborate with world-class talent in a user-centric global organization with a flat structureTackle unique, fast-paced projects with autonomy in an innovative environmentThrive in a results-driven workplace with opportunities for career growth and continuous learningCompetitive salary and company benefitsWork-from-home arrangement (the arrangement may vary depending on the work nature of the business team)Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice .
#J-18808-Ljbffr