Data Scientist

Identifying opportunities in the business that could benefit most from cognitive applications, as well as building and enhancing organisational capabilities for deriving value from multiple data sources using data science.

Your mission will involve

You will be working as part of a cross-functional team whose goals include improving customer experiences across our products as well as identifying process improvement opportunities. To this end, your mission will include the following.

• Optimising product performance by tracking and analysing customer behaviour on web and app, in collaboration with software engineers and product designers
• Providing the business with reports and dashboards, on key performance metrics
• Developing metrics to accurately assess business health
• Formulating business requirements into analytical objectives
• Designing and running experiments to test hypotheses
• Hacking through complex business problems using advanced data analysis to provide insights and recommendations
• Building, maintaining, and optimising decisioning systems using advanced statistical and predictive modelling techniques

The ideal Lunaut will have:

• Bachelor's degree or higher in the natural sciences or technical fields such as Mathematics, Statistics, Computer Science, Engineering or Economics
• Enthusiasm to work in the crypto industry
• Advanced SQL skills
• Solid understanding of exploratory data analysis, predictive analytics, and optimisation using Python, R, Matlab, RapidMiner, KNIME or other data science-oriented platforms
• Proficiency in the use of data science and machine learning domain-specific languages such as “Caret” and the “Tidyverse” suite of tools in R, or “Pandas” in Python
• Strong interpersonal and communication skills
• Ability to explain data and statistical concepts to non-experts in a clear, and structured manner
• Ability to work independently, as well as within and across teams
• Ability to successfully complete projects with large and/or incomplete data sets

What will really get you noticed

• An advanced degree in Mathematics, Statistics, Computer Science or related field
• At least 1 year’s experience working in a similar role
• Experience working with business intelligence platform such as Tableau, Cognos, QlikView, or Looker
• Solid knowledge of statistical and machine learning techniques
• Familiarity with modern distributed data storage and processing systems such as Amazon Redshift, Hadoop MapReduce and Apache Spark
• You're able to gather and synthesise facts, theories, trends, patterns, inferences, and key issues in complex and variable situations
• Ability to diagnose problems using formal problem-solving tools and techniques from multiple angles to generate multiple possible solutions
• A sense of anticipating long-term problem areas and associated risk levels with objective rationale