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Data Scientist - Predictive Modeling

Job in Mossel Bay, 6501, South Africa
Listing for: Placements24
Full Time position
Listed on 2026-10-20
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
About the Role

Our client is seeking a highly analytical and skilled Data Scientist to join their innovative team. This role is predominantly remote, offering flexibility while contributing to impactful projects within the AI & Emerging Technologies domain. The Data Scientist will focus on developing and implementing advanced predictive models to drive business insights and strategic decision-making. You will work with large, complex datasets, employing sophisticated statistical and machine learning techniques to uncover patterns, forecast trends, and solve challenging business problems.

The position requires a strong understanding of data mining, machine learning algorithms, and statistical analysis, coupled with excellent programming skills. You will be an integral part of a collaborative team, working closely with data engineers, analysts, and business stakeholders to deliver data-driven solutions. This is an exciting opportunity to leverage your expertise in predictive modeling in a dynamic and evolving technological landscape, working from your location near
** Mossel Bay, Western Cape, ZA**.

Key Responsibilities
  • Develop, validate, and deploy predictive models using machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
  • Perform data exploration, feature engineering, and data preprocessing on large, complex datasets.
  • Design and conduct A/B tests and other experiments to evaluate model performance and impact.
  • Communicate complex findings and insights clearly and concisely to both technical and non-technical audiences.
  • Collaborate with data engineers to build and optimize data pipelines for model training and deployment.
  • Monitor model performance in production and implement strategies for retraining and improvement.
  • Stay current with the latest advancements in data science, machine learning, and statistical modeling techniques.
  • Identify opportunities to apply data science methodologies to solve business challenges and create value.
  • Develop data visualizations and reports to present findings and support decision-making.
  • Contribute to the team's best practices in data science, code quality, and documentation.
Requirements
  • Master's degree or PhD in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
  • Proven experience as a Data Scientist with a strong focus on predictive modeling.
  • Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., scikit-learn, pandas, Num Py, Tensor Flow, PyTorch).
  • Solid understanding of statistical principles and machine learning algorithms.
  • Experience with SQL and working with large relational databases.
  • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
  • Ability to work independently and collaboratively in a remote team setting.
  • Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Benefits
  • Our client offers a highly competitive salary, comprehensive health benefits, and opportunities for professional development, including attending leading data science conferences.
  • As a remote-first role, you will enjoy significant flexibility in your work environment.
  • Access to advanced computational resources and a supportive team culture focused on innovation and learning are integral to this position.
  • This is an exceptional opportunity to contribute to cutting-edge AI projects from your base near
    ** Mossel Bay, Western Cape, ZA**, making a tangible impact on business outcomes through the power of data science.
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