Data Scientist

• Work with engineers on the team to build out the platform needed to process data and be able to construct and deploy these models.
• We work mainly in Python and use standard machine learning frameworks (e.g. scikit-learn, tensorflow, jupyter notebooks), with an expectation that you will suggest and introduce appropriate new tools and technologies as needed.
• We have high engineering standards and practice comprehensive testing, code reviews, continuous integration and continuous deployment across all engineering teams.

Things that matter to us:

• You are pragmatic and you like engaging with hard engineering problems.
• You like all things about data, passing it around, parsing it, storing it and reporting on it.
• You are curious at heart and like to take ownership of something to make it better.
• You are a team player and communicate with your peers and other stakeholders in the company on a day to day basis
• Being confronted with a difficult or strange problem makes you feel like a detective that wants to crack the mystery
• You enjoy nurturing your colleagues and empowering the team to the fullest of their ability

Requirements

• Communication: You are able to communicate clearly and be humble when sharing ideas with everyone on the team.
• Attention to detail: You are inquisitive and want to dive deep into any problem, to understand the underlying mechanics.
• Commitment to quality: You like having code that is readable by everyone, well tested and robust in production.
• Knowledge of Machine Learning: You understand modern machine learning techniques and can balance tradeoffs to help you choose an appropriate technique for a given problem.
• Practical experience of ML: You have several years experience in researching, building and deploying machine learning models.
• Experience with data processing in the cloud: You are comfortable working with large amounts of remotely hosted data and using appropriate tools to process this.
• Impact focus: You have a strong desire to see your work deployed and having significant business impact.