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.