Data Scientist

Verve Media Group; Johannesburg; On-site; ZAR 40 000 - 80 000; Full time

Job summary

An established industry player is seeking a talented Data Scientist to join their innovative team. This role involves analyzing complex data to drive business growth and collaborating with cross-functional teams to develop data-driven products. The ideal candidate will have a strong background in data analysis, machine learning, and statistics, with a proven track record of delivering actionable insights. If you are passionate about leveraging data to inform strategic decisions and drive innovation, this opportunity is perfect for you. Join a dynamic environment where your contributions will make a significant impact on the company's success.

Qualifications

• 3+ years of experience in data science, focusing on data analysis and interpretation.
• Strong background in machine learning and statistics with expertise in predictive modeling.

Responsibilities

• Analyze and interpret complex data to inform business decisions and drive growth.
• Develop and maintain large-scale data systems, including data warehouses and pipelines.
• Communicate complex data insights to non-technical stakeholders.

Skills

Data Analysis

Machine Learning

Statistics

Predictive Modeling

Data Visualization

Data Mining

Communication Skills

Collaboration Skills

Education

Bachelor's Degree in Data Science

Master's Degree in Data Science

Bachelor's Degree in Computer Science

Bachelor's Degree in Statistics

Tools

Python

R

SQL

AWS

Google Cloud

Azure

Job description

We are looking for a talented Data Scientist to join our team, responsible for analyzing and interpreting complex data to inform business decisions and drive growth.

The successful candidate will have a strong background in data analysis, machine learning, and statistics, with a proven track record of delivering high-quality insights and recommendations.

The Data Scientist will work closely with cross-functional teams, including product, engineering, and business development, to identify opportunities for data-driven innovation and develop strategic plans to execute on these opportunities.

Responsibilities:

1. Analyze and interpret complex data to inform business decisions and drive growth
2. Develop and maintain large-scale data systems, including data warehouses, data lakes, and data pipelines
3. Collaborate with engineers to develop and implement data-driven products and solutions
4. Work with product managers to develop product roadmaps and prioritize features and requirements
5. Develop and maintain relationships with key stakeholders, including business leaders, product managers, and engineering teams
6. Communicate complex data insights and recommendations to non-technical stakeholders, including business leaders and product managers
7. Stay up-to-date with the latest advancements in data science, machine learning, and AI, applying this knowledge to drive innovation and improvement in data-driven products and solutions
8. Develop and maintain predictive models and algorithms to drive business growth and innovation

Preferred Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field
• 3+ years of experience in data science, machine learning, or statistics, with a focus on data analysis and interpretation
• Strong background in data analysis, machine learning, and statistics, with expertise in areas such as predictive modeling, data visualization, and data mining
• Experience with data science frameworks and tools, such as Python, R, or SQL
• Strong programming skills in languages such as Python, R, or Java
• Experience with cloud-based technologies, such as AWS or Google Cloud
• Strong understanding of software engineering principles, including design patterns, testing, and version control
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Technical Skills:

• Machine learning: supervised, unsupervised, and reinforcement learning
• Cloud-based technologies: AWS, Google Cloud, Azure, etc.

Full time