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  • Posted: Mar 13, 2017
    Deadline: Not specified
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    DataProphet is a data science consultancy specializing in predictive analytics product development. We use advanced machine learning algorithms to solve prediction problems that enable businesses to make money or save money. We don’t provide burdensome reports filled with descriptive statistics, but rather information that can immediately be acted upon...
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    Data Scientist

    Job description

    We are looking for candidates with high energy, knowledgeable in the field of machine learning and able to learn quickly in a fast-paced environment. Many of our projects require that we apply existing techniques in novel ways, or come up with new solutions altogether.

    Responsibilities will thus include small research projects to prove whether or not a certain approach would work in practice; and to adapt it where necessary.

    Desired Skills and Experience

    • Knowledge of and interest in machine learning algorithms e.g.: boosting methods, Artificial Neural Networks
    • BSc/Honours in a related field, specifically Engineering, Computer Science, Mathematics, Statistics
    • Experience in handling, interpreting and analyzing data efficiently
    • Python (Knowledge of machine learning libraries would be advantageous, e.g.: sklearn, TensorFlow)
    • Previous data-science/predictive analytics work experience is advantageous

    Our Office

    We’re located in Green Point, Cape Town, in an awesome start-up office complete with astro-turfed floors, an arcade machine and all the free coffee you could want.

    Our Culture

    Our culture is focused on machine learning. The conversations in the office frequently centre on applications of machine learning to real world situations as well as new achievements such as AlphaGo. We enjoy participating in Kaggle competitions and have implemented a number of the deep TensorFlow networks for our own suite of products. If this interests you too, and you have delved into some of them yourself, we would like to include you in the conversation - and the team.

    Method of Application

    Applicants should Send a 2-page CV to [email protected] with a cover letter telling us a bit about yourself and why you would be the perfect fit for the job and we will be in touch.

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