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

• Identify how data science can be applied to improve and optimize search engine and recommendations system

• Work cross-functionally as a strategic partner to define priorities and develop project roadmaps with product manager, machine learning engineer and research analyst

• Employ languages and tools like Python, R, SQL, and others to drive efficient data exploration and modelling

• Build pragmatic, scalable, and statistically rigorous solutions to large-scale web and data infrastructure problems by leveraging or developing statistical and machine learning methodologies

• Effectively advocate technical solutions to research, engineering teams and business audiences

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

What's next?

If you're interested in this role, click Apply To Position or drop an email to [email protected]


Don Chan
Senior Consultant
EA Personnel Number: R1763146
EA License Number: 20C0292