Data Scientist

PBT Group; Cape Town; On-site; ZAR 600 000 - 800 000; Full time

Job summary

A leading technology firm in Cape Town is seeking an experienced Data Scientist to shape their data-driven future. You will leverage your skills in data integrity, algorithm development, and machine learning techniques to enhance product offerings. The ideal candidate has a degree in quantitative fields and 4+ years of relevant experience, including proficiency in Python. This is an exciting opportunity to make a significant impact in a collaborative environment.

Qualifications

• 4+ years of experience in Data Science.
• Experience in strategy development using data analytics.
• Proficiency in analytical programming languages.

Responsibilities

• Process, cleanse, and ensure integrity of data.
• Develop algorithms and predictive models.
• Utilise machine learning techniques for report generation.

Skills

Python

Machine Learning

Data Integrity

Statistical Concepts

Collaboration

Education

Degree in Mathematics, Statistics, or related field

Tools

Spark

Hadoop

AWS

Microsoft Office

Job description

Data Scientist position available in Cape Town.

Are you an experienced and inquisitive individual with a passion for data? Join our team as a Data Scientist and be a key player in shaping our data-driven future.

Duties and Responsibilities:

• Data Integrity: Leverage your expertise to process, cleanse, and ensure the integrity of data used for analysis.
• Algorithm Development: Develop algorithms and create predictive models to enhance our product offerings.
• Machine Learning Techniques: Utilise machine learning techniques to improve data quality and generate reports with actionable insights.
• Collaboration: Collaborate with the team to present findings and recommendations effectively.

Requirements:

• Experience: 4+ years of working experience in Data Science.
• Education: Degree in quantitative fields like Mathematics, Statistics, Operational Research, Economics, or equivalent industry training and experience.
• Strategy Development: Experience in strategy development and implementation using advanced data analytics.
• Outsourced Environment: Experience working in an outsourced environment and effectively implementing solutions using both internal and external resources.
• Analytical Experience: least 4 years of analytical experience on a consumer portfolio dataset (retail, banking, telecoms, etc.).
• Team Collaboration: Worked with diverse teams to ensure effective implementation of projects.
• Programming Skills: Proficiency (intermediate or advanced level) in Python or equivalent analytical & statistical programming languages.
• Statistical Concepts: Understanding of key statistical concepts used in model development, evaluation, and hypothesis testing.
• Data Processing Tools: Exposure to data processing tools like Spark or Hadoop for working with large-scale datasets (Exposure to cloud platforms like AWS advantageous).
• Microsoft Office: Proficiency in Microsoft Office (Excel, Word, PowerPoint, etc.), ideally using macros.
• Machine Learning Knowledge: Outstanding knowledge of machine learning techniques and algorithms, including clustering methods, neural networks, and boosting algorithms.