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Data Scientist - Cape Town (In office)

OfferZenSouth AfricaPosted Jun 18
Jobs by Adzuna

Data Scientist - Cape Town (In office)

Are you a talented data scientist looking for your next developer job in Cape Town? OfferZen, the developer jobs marketplace, reverses the job search process. We connect developers with a vast network of top tech companies that are eager to apply to interview you!

This could be the last job posting you ever have to click on! Why waste time applying to 100 different companies when you could build one OfferZen profile and have them come to you? You'll also receive upfront information about the tech stack, role, and salary, so you can make an informed decision on which companies align with your preferences and career goals.

How OfferZen works:

  • Sign up for free and complete your OfferZen profile
  • 2000+ hiring companies will be able to see your profile
  • Companies reach out directly and apply to interview you
  • Your personal talent advisor will help you with salary benchmarks, interview preparation and job offers
  • Land your dream developer job with ease!

Requirements:

  • This role requires full-time office presence in Cape Town.
  • 4+ years experience working as a Data Scientist
  • Hands-on, practical experience analysing and interpreting large datasets
  • Strong experience building predictive models, machine learning solutions, and statistical analyses
  • Experience working in an English speaking environment
  • Must have experience with Python
  • Must have experience with SQL
  • Must have experience with Google BigQuery
  • Experience working with data visualisation and reporting tools
  • Experience deploying and monitoring models in production environments

Skills:

  • Strong analytical and problem-solving skills
  • Attention to detail
  • Ability to translate business problems into data solutions
  • Strong statistical thinking and experimentation skills
  • Ability to combine data from multiple sources
  • Excellent communication and stakeholder management skills

Nice to have:

  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Experience with BI tools such as Power BI, Tableau, or Looker
  • Experience working with Data Engineers, Analysts, and Product teams
  • Experience with MLOps tools and automation pipelines

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