Senior Data Scientist

3 weeks ago

Johannesburg, South Africa Khonology (Pty) Ltd Full time

We are seeking a skilled Data Scientist to design and develop cutting-edge machine learning (ML) models and collaborate closely with software engineers to bring these models into production. In this role, you will play a pivotal part in shaping ML-driven solutions by creating high-quality models, optimizing their performance, and ensuring they align seamlessly with business objectives and deployment requirements.

**Objectives**
- Collaborate with stakeholders to design and develop machine learning models tailored to business needs.
- Prepare and process large datasets to ensure readiness for ML model development.
- Ensure ML models are production-ready by aligning them with the software engineering team’s deployment requirements.
- Explore and incorporate innovative ML techniques, including Large Language Models (LLMs), into solutions.
- Drive continuous improvement of deployed models through rigorous monitoring, evaluation, and iteration.

**Responsibilities**
- Work closely with stakeholders to define ML use cases and translate business challenges into data-driven solutions.
- Design, develop, and validate machine learning models to address key business problems.
- Prepare and preprocess data for model development, ensuring quality and readiness for production.
- Conduct feature engineering, selection, and optimization to improve model accuracy and performance.
- Collaborate with software engineers to ensure models are production-ready, scalable, and compatible with deployment requirements.
- Evaluate and iterate on model performance post-deployment, ensuring continued relevance and effectiveness.
- Document workflows, methodologies, and results to ensure transparency and reproducibility.
- 5 years + experience in developing and deploying machine learning models
- Extensive background in data mining and statistical analysis
- Practical experience with data processing, database programming and data analytics
- Knowledge of machine learning techniques
- Knowledge of advanced statistical techniques and concepts
- Expertise with statistical computer languages: R, Python, SQL
- Experience with big data technologies like Hadoop and Apache Spark
- Machine learning pipeline management
- Machine learning algorithm utilisation & development
- Publishing machine learning model results to a web service
- Using Azure Machine Learning Service and Azure Databricks Service (beneficial)
- Investigative and inquisitive nature with a passion for research
- Highly analytical with a knack for analysis, math and statistics.
- Critical thinking and problem-solving skills
- Excellent pattern recognition and predictive modelling skills
- Comfortable working with a wide range of stakeholders and functional teams

**Academic & Professional Qualifications**:

- Microsoft Certified: Azure Data Scientist Associate (beneficial)
- Microsoft Certified: Azure Data Engineer Associate (beneficial)
- Microsoft Certified: Data Analyst Associate (beneficial)
- AWS Certified: Machine Learning Specialty (beneficial)
- AWS Certified: Big Data Specialty (beneficial)
- Masters Degree/PHD

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