Data Scientist

Cape Town/Gauteng - South Africa
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Data Scientist

Remote – Full time Position

If you are in Cape Town you will have an option to work a flexible hybrid model.

(Either from the office or wfh). 

 

Job Description

Are you seeking a Data Scientist position in Cape Town or the flexibility of remote work? Look no further! Our client is on the hunt for enthusiastic, analytical, and creative individuals to join their innovative Business Intelligence team.

Why Join This Team? This is a fantastic opportunity to be part of a dynamic group that is passionate about driving results and making a real impact in the industry. You will engage with cutting-edge technologies and participate in exciting projects that contribute to South Africa’s leading property platform. If you’re ready to enhance your skills and make a difference, we want to hear from you!

Responsibilities

 

  • Building Predictive Models: Develop models to forecast property and vehicle prices—an exciting and impactful task!
  • Identifying Data Improvement Opportunities: Proactively seek areas for data enhancement and business insights.
  • Data Processing and Cleansing: Ensure the integrity and quality of data used for analysis through careful processing and cleansing.
  • Developing Algorithms: Create and implement predictive algorithms that will enhance product offerings.
  • Utilizing Machine Learning Techniques: Apply machine learning methods to improve data accuracy and insights.
  • Creating Automated Anomaly Detection Systems: Develop and monitor systems that detect anomalies in performance metrics.
  • Generating Insightful Reports: Produce reports that provide valuable insights from analyzed datasets and models for presentation to stakeholders.

Qualifications

    • 3+ years of experience in Business Intelligence with a strong focus on data science.
    • Relevant qualification in Data Science or Statistics.
    • Proficient in data mining, statistical analysis, and mathematics.
    • Experience with tools such as Excel, Tableau, SQL, and programming languages (especially Python).
    • Strong understanding of machine learning techniques and algorithms, including clustering methods, neural networks, and boosting algorithms.
    • Outstanding analytical skills with an ability to identify trends and patterns from data.

    Ideal Candidate Profile:

    • Self-motivated and an effective team player.
    • Positive and proactive approach to challenges.
    • Detail-oriented with an ability to meet deadlines consistently.
    • Strong verbal and written communication skills, able to explain complex ideas simply and clearly.
    • An analytical mindset and a passion for problem-solving.

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Interested?! Talk with a Recruiter to Setup an Interview

We maintain strong, collaborative relationships with all our clients and prioritize transparency in our communications.

Our client growth is driven organically, as we choose to partner exclusively with companies that possess a compelling vision for each open position.

 

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