Job Description
About the Role
We are seeking an experienced Senior Data Scientist to join our team and contribute to building scalable machine learning models and data-driven solutions. In this role, you will lead complex analytical projects from conception to deployment, collaborating with stakeholders to uncover insights and drive strategic decision-making.
Key Responsibilities
- Model Development: Design, build, and deploy advanced machine learning models (predictive, prescriptive, NLP, or computer vision depending on business needs) to solve complex business problems.
- Data Analysis & Exploration: Mine and analyze large, complex datasets to discover trends, patterns, and actionable business insights.
- End-to-End Execution: Own the full data science lifecycle, from data collection and cleaning to feature engineering, model training, validation, deployment, and monitoring.
- Cross-Functional Collaboration: Partner with product managers, software engineers, and business leaders to translate business requirements into technical data solutions.
- Mentorship & Leadership: Guide and mentor junior data scientists and analysts, fostering a culture of continuous learning and technical excellence.
- A/B Testing & Experimentation: Design and analyze rigorous experiments to measure the impact of new product features and algorithms.
- Data Strategy: Contribute to the design and improvement of data pipelines, data architecture, and MLOps practices.
Requirements
- 5 years of professional experience as a Data Scientist or Machine Learning Engineer, with a proven track record of deploying models into production.
- Advanced proficiency in Python (or R) and standard data science libraries (e.g., Pandas, NumPy, Scikit-Learn).
- Expert-level knowledge of SQL and experience working with relational and non-relational databases.
- Deep understanding of ML algorithms (regression, classification, clustering, ensemble methods, deep learning) and frameworks (e.g., TensorFlow, PyTorch, XGBoost).
- Experience with cloud computing platforms (AWS, Google Cloud, or Azure) and big data technologies (Spark, Hadoop, Snowflake).
Qualifications
Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
Salary & Benefits
Salary details not specified.
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About IT / Computing / Software Jobs in Gauteng
In Gauteng, the IT and computing industry is a significant contributor to the province’s economy, with a steady demand for skilled professionals. Typically, this field is characterized by rapid technological advancements, innovative projects, and a high level of job satisfaction among employees. Generally, career prospects in this sector are strong, with a range of opportunities available across various industries.
Salaries for IT and computing professionals in Gauteng can vary widely depending on factors such as experience, company size, and industry sector. While it is common to see salaries ranging from R400 000 to R1,200 000 per annum, these figures are only a general guideline and actual salaries may differ significantly. For instance, senior executives or technical leads with extensive experience may command higher salaries, while entry-level positions may start at lower levels.
Common skills required for IT and computing roles in Gauteng include proficiency in programming languages such as Java, Python, or C++, knowledge of cloud platforms like AWS or Azure, and experience with agile development methodologies. Additionally, understanding of data analysis and interpretation, cybersecurity principles, and IT project management are often essential. Familiarity with popular software applications, such as Microsoft Office 365 or Google Workspace, is also beneficial.
The financial services sector, technology industry, manufacturing sector, and government departments are among the common industries that employ IT and computing professionals in Gauteng. These sectors require a range of skills and expertise, from data analysis to network administration, making them attractive options for career development.
For those seeking a career in IT and computing, there are numerous opportunities for professional growth and development. Typically, career progression involves moving into senior roles or specialized positions, such as technical lead, solutions architect, or data scientist. Opportunities for further education and training, such as certifications or postgraduate studies, can also enhance job prospects. Generally, a strong understanding of industry trends, networking, and continuous learning are essential for success in this field.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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