Software Engineer (Machine Learning) - Takealot
takealot.com
Stellenbosch, South Africa
6d ago

We are looking for talented developers to build out the best damn big data team in Africa.

You will :

  • Work with a firehose of data
  • Build state-of-the-art statistical models
  • Touch all aspects of the business
  • Brainstorm new ideas and concepts
  • Work with teammates on design, and code reviews
  • Build real time systems that integrate with the rest of our stack
  • We expect you to :
  • Be creative
  • Be flexible
  • Use the data, Luke
  • And take pride in your work
  • Minimum requirements

  • Computer Science degree (alternatively a degree in a related field with work experience as a software engineer)
  • Strong Mathematical or Statistical experience
  • Standard requirements

  • Python experience
  • Linux experience
  • Commercial software experience
  • Experience with Hadoop / Spark / R
  • Machine Learning / Data Mining / Big Data experience
  • MSc (or even PhD) in a related field
  • The Environment :

  • takealot.com employees are entrepreneurial and dynamic, smart, customer-centric, fun and have the shared ambition of takealot.
  • com being the leading e-commerce company in Africa

  • We have fun, work hard, take ownership, work in teams to create solutions, and are always open to direct feedback / new ideas on where we can improve
  • We are short on ego and high on output
  • We are doers and not only thinkers, its all in the execution after all
  • We love what we do and what we are creating
  • The Team :

  • A small, highly skilled team (2x PhDs and 1x MSc-in-progress)
  • A high degree of autonomy
  • Maintains links with academia
  • The Company :

    takealot.com, a leading South African online retailer, is a young, dynamic, hyper growth company looking for smart, creative, hard working people to join us.

    We offer market-related benefits, a great work environment and a promise that you won’t be bored as long as you are prepared for a challenge and want to build something great.

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