Data Scientist (JHB / CPT)

SUMMARY:

We are seeking an experienced and highly skilled Senior Data Scientist/Engineer to join our team. The ideal candidate will have a robust background in data science and engineering, a proven track record of working with large datasets, and the ability to lead projects and mentor junior team members.

We are seeking an experienced and highly skilled Senior Data Scientist/Engineer to join our team. The ideal candidate will have a robust background in data science and engineering, a proven track record of working with large datasets, and the ability to lead projects and mentor junior team members.

 

Key Responsibilities:

 

Data Analysis and Interpretation:

• Analyze and interpret complex datasets to uncover trends, patterns, and actionable insights.
• Develop and implement advanced statistical models and machine learning algorithms to solve business problems.

 

Data Engineering:

• Design, develop, and maintain scalable data pipelines and architectures.
• Ensure data quality, integrity, and security across various sources.
• Optimize data storage solutions for efficiency and performance.

 

Project Leadership:

• Lead data science and engineering projects from conception to deployment.
• Coordinate with cross-functional teams, including product, engineering, and business stakeholders, to ensure successful project delivery.
• Define project scope, goals, and deliverables that support business objectives.

 

Mentorship and Collaboration:

• Mentor and provide guidance to junior data scientists and engineers.
• Foster a collaborative and innovative team environment.
• Communicate complex technical concepts and insights to non-technical stakeholders.
• Work closely with cross-functional teams, including product, engineering, and business teams, to understand data needs and deliver solutions.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.

 

Research and Development:

• Stay current with the latest advancements in data science, engineering, and machine learning.
• Experiment with new tools, techniques, and technologies to continuously improve data processes and analytics.

 

Deployment and Maintenance:

• Deploy and monitor machine learning models in production environments.
• Continuously improve and maintain existing data models and infrastructure.
• Implement best practices for model management and version control.

Qualifications:

Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, or a related field.

 

Experience:

5+ years of experience in data science, data engineering, or a related field.

Proven experience leading data projects and managing teams.

Extensive experience with data analysis, statistical modelling, and machine learning.

 

Technical Skills:

• Proficiency in programming languages such as Python, R, or Scala.
• Expertise in data processing frameworks like Apache Spark, Hadoop, or similar.
• Strong SQL skills and experience with relational and NoSQL databases.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Advanced knowledge of data visualization tools like Tableau, Power BI, or similar.