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Open nowFirst seen 35 hours ago

Data Scientist

BigTalent21 open roles

Where
Cape Town, Western Cape, South Africa, Remote
Work mode
Remote
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Your applicationOpen nowData ScientistBigTalent · Cape Town, Western Cape, South Africa, Remote
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Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 35 hours ago

The posting

Position Title: Data Scientist

Location: Cape Town - hybrid two days on-site

Are you passionate about data, solving real-world business challenges, and driving innovation? Our client is a leading retailer focused on customer satisfaction and innovation, and they are looking for a Data Scientist.

In this role, you will have the opportunity to lead exciting projects, applying your expertise in data science and machine learning operations to help us uncover insights, optimize strategies, and drive business growth.

What You'll Do

  • Analyze large and complex data sets to extract meaningful insights and uncover trends that impact business decisions.
  • Design and build feature stores to enhance model training and development.
  • Develop predictive models to optimize customer engagement and sales strategies.
  • Collaborate with cross-functional teams to design, implement, and evaluate data-driven solutions.
  • Communicate insights and actionable recommendations to stakeholders in a clear and concise manner.
  • Stay updated with the latest data science technologies, trends, and methodologies.

What We're Looking For

  • Bachelor's or Master's degree in a related field (e.g., Statistics, Mathematics, Computer Science, Engineering, or Operations Research).
  • A minimum of 4 years' experience in data science, with a focus on predictive modeling and machine learning.
  • Proficiency in programming languages such as Python and SQL.
  • Knowledge of big data technologies like GCP, Hadoop, and Spark.
  • A strong understanding of code repositories, git, and CI/CD practices.
  • Problem-solving and analytical skills, with the ability to simplify complex concepts for non-technical stakeholders.
  • A self-driven, results-oriented team player with a commitment to excellence.

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