Data Scientist

Boardroom Appointments; Johannesburg; On-site; ZAR 500,000 - 800,000; Full time

Job summary

A leading company in data analysis seeks a Data Scientist to apply advanced analytical techniques and lead projects. The ideal candidate will possess strong programming skills and significant experience in data science, machine learning, and predictive modeling. Responsibilities include deploying models and collaborating with teams to innovate solutions using data.

Qualifications

• Minimum 5 years experience in data science or machine learning.
• Experience in finance or supply chain management is a plus.
• Proficient in database programming and machine learning platforms.

Responsibilities

• Lead data science projects from concept to deployment.
• Collaborate with business units to identify data-driven opportunities.
• Develop and implement machine learning models for analytics.

Skills

SQL

Python

Machine Learning

Statistical Techniques

Analytical Thinking

Education

Degree in Computer Science

Degree in Data Science

Degree in Statistics

Degree in Applied Mathematics

Tools

Hadoop

MapReduce

Microsoft Azure ML

Google Cloud ML

Job description

Location:Johannesburg (on-site)
Position Type: Permanent
Travel Required: Yes

JOB PURPOSE

The Data Scientist is responsible for applying advanced analytical and machine learning techniques to solve complex business problems. This role involves designing, developing, and deploying predictive models, as well as leading data science projects across the organization.

QUALIFICATIONS:

• A degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field.
• Experience in finance, supply chain management, engineering, or manufacturing operations is a plus.

EXPERIENCE:

• At least five years of experience in data science, machine learning, or a related field.
• Proven track record of applying data science techniques to business functions such as financial analytics, manufacturing, sales, and marketing.

SKILLS AND ABILITIES REQUIRED:

Technical Skills

• Proficiency in database programming languages, including SQL and PL/SQL.
• Experience with non-relational databases and distributed computing tools (e.g., Hadoop, MapReduce).
• Strong programming skills in Python, Java, Scala, or similar languages.
• Experience with machine learning platforms such as Microsoft Azure ML, Google Cloud ML, or similar.

Machine Learning and Data Science

• In-depth knowledge of statistical and data mining techniques.
• Experience with predictive modeling, classification, clustering, and other machine learning tasks.
• Familiarity with deep learning, neural networks, and associated algorithms.

Problem-Solving and Innovation

• Ability to develop innovative solutions to complex problems using data science techniques.
• Strong analytical thinking with a focus on continuous improvement.

Communication and Collaboration

• Excellent communication skills to articulate complex models and insights to non-technical stakeholders.
• Ability to work with cross-functional teams and integrate domain knowledge into analytics solutions.

ROLE RESPONSIBILITIES:

Project Management and Problem Analysis

• Lead data science projects from concept to deployment.
• Collaborate with business units to identify data-driven opportunities.

Data Exploration and Preparation

• Conduct exploratory data analysis to understand the underlying mechanics of business processes.
• Prepare data for modelling and ensure its quality and integrity.

Model Development and Deployment

• Develop and implement machine learning models to solve classification, prediction, and other analytical tasks.
• Collaborate with IT and other stakeholders to deploy models and ensure their performance.

Continuous Learning and Improvement

• Stay updated with the latest trends in data science and machine learning.
• Mentor and train other team members on data science principles.