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7 Apr 2018

Part-Time Data Scientist

Alchemy – Posted by Andreas Voniatis Anywhere

Job Description

Salary: Freelance daily rates, dependent on skills and experience – for discussion

We are a London based software that uses data science to make better website marketing recommendations. Your role will be to help us improve our existing software using data experiments.

About you

  • Uses a host of libraries including dplyr, ggplot2, tidytext and Shiny.
  • Comfortable with  SSH’ing into servers to deploy and run code on large datasets.
  • Conversant with higher mathematics including stochastics, markov, linear algebra, multivariable calculus and differential equations.
  • Demonstrable competence in Text Mining, EDA, predictive modelling, machine learning, shiny apps and visualisation.
  • Data wrangling including connecting and querying APIs from other software, database design.
  • Minimum Master’s degree or equivalent in a quantitative subject
  • Good listener, sense of humour, curious, modest, hardworking and enthusiastic
  • Participated in Kaggle competitions

You’ll be expected to discuss your work online, including your assumptions, how the results could be improved etc.

You should have experience in most, if not all, of the above. If this is you, please apply.

Your daily rate is for discussion depending on experience.

You’ll be expected to work normal business hours, initially starting from 1 day a week remotely and we can increase it from there.

About us

  • There are 3 of us with varying levels of data science skills and engineering
  • Most of the problems we solve include social media, SEO and content related
  • We have APIs which is where most of our data comes from


How to Apply

Please get in touch using the apply form. Please also attach your CV, examples of Shiny Apps you've developed. If your application makes a good impression, we will be in touch by email to chat online.

Job Categories: R Developer. Job Types: Part-Time. Job Tags: machine learning, shiny, and text mining. Salaries: More than $100,000.

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