Senior Data Scientist

PBT Group; Cape Town; On-site; ZAR 60 000 - 100 000; Full time

Job summary

An established industry player is looking for a Senior Data Scientist to lead the development of innovative Analytical Data Assets. This role involves utilizing advanced data analytics and predictive modeling to drive strategies that identify trends and opportunities within the retail sector. The ideal candidate will have a strong background in Python and a deep understanding of the retail industry. If you are passionate about data and want to make a significant impact through your analytical expertise, this is the perfect opportunity for you.

Qualifications

• 5+ years of analytical experience on consumer portfolio datasets.
• Extensive knowledge of the Retail Industry and ADA techniques.

Responsibilities

• Drive the evolution of Retail ADA strategy development and implementation.
• Lead Analytical Projects ensuring timely quality implementation.

Skills

Python

Data Analysis

Predictive Modeling

Statistical Concepts

Stakeholder Management

Education

University degree in quantitative fields

Tools

Spark

Hadoop

Microsoft Office

Job description

Senior Data Scientist position available in Cape Town.

PBT Group is seeking a Senior Data Scientist to spearhead the development of retail Analytical Data Assets (ADA) and associated strategies for key ‘Use Cases’ using data analysis, predictive modeling, simulation, and optimization techniques to identify trends, opportunities, and risks.

Duties and Responsibilities:

• Drive the evolution of Retail ADA strategy development, implementation, analysis, and tracking.
• Provide forecasting and regular ADA Management Information (MI), ensuring accurate reporting to track ADA performance.
• Lead Analytical Projects, ensuring timely and quality implementation, and contribute to quality and governance standards.
• Manage stakeholders effectively, align ADA implementations with resourcing requirements, and coach team members as needed.

Requirements:

• Extensive knowledge of the Retail Industry and ADA techniques.
• Strong proficiency in Python or equivalent analytical programming languages.
• Experience in strategy development and implementation using advanced data analytics.
• Proficiency in statistical concepts, data processing tools like Spark or Hadoop, and Microsoft Office.
• At least 5 years of analytical experience on consumer portfolio datasets.
• University degree in quantitative fields or equivalent industry training and experience.