Data Scientist (Global)

Our client is an AI-powered research platform. They organize unstructured information in crypto, making it accessible to investors and researchers. Responsibilities include identifying data science applications, working cross-functionally, employing languages and tools like Python, R, SQL, and others, and building scalable solutions to large-scale web and data infrastructure problems.

Requirements

• Bachelor's degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field)
• 3+ years of experience doing quantitative analysis including experience with SQL or other functional programming languages (e.g. Python, R); experience with object oriented programming languages is preferred (e.g. Java, Go)
• 3+ years of experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
• 2+ years of experience working with big data infrastructures (e.g. Hadoop, Hive, Spark)
• Capable of independently developing and deploying data systems such as data logging, data pipelines, real-time model inference, automated data analytics and dashboards
• Experience initiating and driving projects to completion with minimal guidance