Data Scientist Umhlanga, Kzn

Company Description
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.
**Job Description**:
Key Responsibilities:
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. Data Privacy and Compliance:
- Ensure data privacy and compliance with relevant regulations and best practices.
- Develop and enforce data security protocols.
**Qualifications**:
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 and 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.