Data Scientist - Machine Learning & Big Data

Placements24; Mossel Bay; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Flexible remote work

Health benefits

Paid time off

Professional development

Job summary

Placements24 is seeking a talented Data Scientist to join the AI & Emerging Technologies division in Mossel Bay, Western Cape. The role offers a flexible remote work arrangement and involves extracting insights from large datasets, developing predictive models, and applying ML techniques to guide business decisions.

You will collaborate with cross-functional teams to translate findings into actionable recommendations, design experiments, and deploy data-driven solutions.

Qualifications

• Master's or Ph.D. in a quantitative field (stats, math, CS, econ).
• Strong portfolio of data science projects.
• Proficiency in Python or R and libraries (Pandas, NumPy, Scikit-learn).
• Solid understanding of ML algorithms and data mining techniques.

Responsibilities

• Analyze large, complex datasets to identify trends and insights.
• Develop, train, and deploy ML models for prediction, classification and clustering.
• Design experiments to test hypotheses and validate model performance.
• Collaborate with engineering to integrate models into production systems.
• Visualize data and model results for diverse audiences.
• Communicate findings and recommendations to stakeholders.
• Stay updated with advances in data science and AI.
• Identify new data sources and opportunities for data-driven innovation.

Skills

Python

R

Data analysis

Communication

Problem solving

Education

Master's or PhD in Statistics, Mathematics, Computer Science, Economics, or related field

Tools

Pandas

NumPy

Scikit-learn

Spark

Hadoop

Tableau

Job description

About the Role

Our client is seeking a talented and analytical Data Scientist to join their innovative team within the AI & Emerging Technologies division. This role, based in the scenic location of Mossel Bay, Western Cape , offers a flexible Yes remote work arrangement, allowing you to contribute from anywhere. You will be responsible for extracting valuable insights from large datasets, developing predictive models, and leveraging machine learning techniques to drive business decisions. This is an exciting opportunity to work with complex data challenges and contribute to cutting-edge AI applications. You will collaborate with cross-functional teams to identify opportunities, translate findings into actionable recommendations, and implement data-driven solutions. The ideal candidate is passionate about data and possesses a strong blend of statistical, analytical, and programming skills.

Key Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop, train, and deploy machine learning models for various applications, including prediction, classification, and clustering.
• Design and conduct experiments to test hypotheses and validate model performance.
• Collaborate with engineering teams to integrate models into production systems.
• Visualize data and model results effectively for diverse audiences.
• Communicate findings and recommendations to stakeholders through reports and presentations.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI.
• Identify new data sources and opportunities for data-driven innovation.

Requirements

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong portfolio of projects.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Strong data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical and problem-solving abilities.
• Effective communication and interpersonal skills.
• Ability to work independently and manage multiple priorities in a remote setting.

Benefits

• Competitive salary and potential for performance bonuses.
• Comprehensive health and wellness benefits.
• Generous paid time off.
• Opportunities for professional development and learning.