Data Scientist

2 weeks ago

Durban, South Africa 101 Careers Full time

Data Scientist Umhlanga

Job Overview:

- To facilitate data-driven decision-making and improve company operations, the Data Scientist will develop and execute cutting-edge AI and BI solutions
- Drive data science projects, using sophisticated analytics and machine learning models to address difficult business challenges and generate actionable insights.
- They will collaborate with other departments to design data strategies, build models, and embed those models into software-driven business processes.

**Qualifications**:

- Bachelor's or Master's degree in computer science, data science, or a related field.
- Proven experience in data science roles, including hands-on experience with machine learning and statistical analysis.
- Proficiency in data analysis and modeling tools and libraries e.g. Python, R
- Strong programming skills and knowledge of data manipulation and visualization.
- Expertise in data preprocessing, feature engineering, and model evaluation. - Excellent problem-solving and critical-thinking skills.
- Strong communication and interpersonal skills to effectively collaborate with various stakeholders.
- Relevant certifications e.g. Certified Data Scientist etc. are a plus.

**Key Responsibilities**:

- Data Strategy and Planning: - Collaborate with stakeholders to define data-driven objectives and formulate data strategies aligned with business goals. - Identify key performance indicators (KPIs) and establish data collection and measurement protocols.
- Feature Engineering: - Engineer features and create data pipelines to prepare and clean data for modeling. - Work with data engineering teams to ensure data availability and quality.
- Model Evaluation and Deployment: - Evaluate model performance and fine-tune models for improved accuracy. - Deploy models in production environments and monitor their ongoing performance. - Implement best practices for model version control and management. - Ensure proven models are integrated into business processes and software products removing the requirement for human intervention to implement the model within their respective businesses.
- Cross-Functional Collaboration: - Collaborate with business analysts, data engineers, and domain experts to understand and address specific business problems. - Communicate findings and insights to non-technical stakeholders in a clear and actionable manner.
- Leadership and Mentorship: - Provide leadership and mentorship to junior data scientists. - Participate in knowledge-sharing and training programs to enhance the data science capabilities of the team. - Foster a collaborative and innovative work environment.
- Data Privacy and Compliance: - Ensure data privacy and compliance with relevant regulations and best practices. - Develop and enforce data security protocols.

Additional Requirements: - Strong problem-solving and critical-thinking skills. - Ability to work in a fast-paced, dynamic environment. - Strong project management and organizational skills. - Excellent interpersonal and teamwork skills.

**Education**:

- Bachelors (required)

**Experience**:

- machine learning and statistical analysis.: 3 years (required)
- Python and R: 3 years (required)
- data manipulation and visualization: 3 years (required)
- data preprocessing, feature engineering: 3 years (required)
- model evaluation: 3 years (required)

License/Certification:

- Certified Data Scientist Certificate (required)

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