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Data Scientist

Closing date
23 Feb 2021

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Technology & New Media
Contract Type
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Job Details

Purple are looking for a Data Scientist with strong experience in Machine learning, particularly Computer Vision to help us expand into new product areas. This is a new role, working at the cutting edge of technology to develop a product which can really push the company to new horizons. The candidate will enjoy challenges, and be open and transparent about the problems they face, and will enjoy helping colleagues resolve their own problems without judgement.

PurposePurple transform existing physical spaces into "intelligent spaces" through the use of technologies such as WiFi and Bluetooth positioning for a number of use-cases including analytics and wayfinding. Currently we are looking to expand the technologies available to include image sensors to further increase accuracy of use-cases.

TeamReporting to the Senior Data Scientist and a key part of the Development team which reports into the Chief Product Officer.

The team is responsible for identifying and driving the adoption of best practices for data collection, aggregation and analysis in addition to surfacing new insights from this data via statistical analysis, modelling and techniques such as machine learning.

  • Has strong experience with machine learning techniques, particularly computer vision and neural networks
  • Experience engineering solutions to technical problems
  • High degree of knowledge of Python, c++, Tensorflow or other similar languages/libraries
  • Familiarity with Agile methodologies

A strong candidate will haveExperience Computer Vision, Machine Learning and Neural Networks

Experience in modelling data and a high level of statistical literacy

Familiariality with AI edge hardware (Jetson Nano etc)

Familiarity with extracting data from unstructured sources

Experience working with Google Cloud Platform

Key objectives
  • Competence with Machine Learning/Computer Vision
  • Providing data experience to the development team to help with data issues such as performance at scale
  • Understanding and being able to explain/define what different data is (and isn't)
  • Development work as required for prototyping or data-specific tasks
  • Optimisation of data-related processes
  • Handling data in a safe and secure manner
  • Identifying new potential data sources

Cultural Fit
  • Make it happen - We own things and get them done whatever it takes
  • Playful and positive - Life's too short to take things too seriously, we like to have fun while we're working and we love positivity - and yes the glass is half full
  • We're in it together - We all have our day jobs to do, our KPI's to hit and projects to complete but we're always available to help for the greater good of the business
  • No bullsh*t, no politics - Seriously! We want to enjoy coming to work and that stuff doesn't make it pleasant
  • Know your stuff, keep learning - We value people who have the knowledge and have a thirst for it, lots of it
  • No drama - Things don't always go right as much as we try, having a hissy fit over it won't help the situation and you won't find that here
  • With great data, comes great responsibility - Personal data is a big thing, particularly when you are the custodian of a lot of it, we take that very seriously
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