Data Scientist

2 weeks ago

Pretoria, South Africa Curiska (Pty) Ltd Full time

**Minimum education (essential)**:
Bachelor's degree in Computer Science, Statistics, Mathematics, Actuarial Science or a related field.

**Minimum education (desirable)**:
Honors or Masters degree Computer Science, Statistics, Mathematics, or a related field.

**Minimum applicable experience (years)**:
5 years

**Required nature of experience**:

- Proven experience in data analysis, statistical modeling, and machine learning.
- Data cleaning, feature engineering, and model validation.
- Data visualization tools (e.g., Tableau, Power BI Qliksense).

**Skills and Knowledge **(essential)**:

- Proficiency in programming languages such as SQL, Python, R.
- Data manipulation and analysis using SQL.
- Big data processing frameworks like Hadoop or Spark.
- Machine learning algorithms and techniques.
- statistical analysis and hypothesis testing.
- Analyzing complex datasets, identify patterns, and extract meaningful insights.
- experimental design and A/B testing methodologies.
- Validate large volumes of data.

**Data Analysis and Modelling**
- Collect, clean, and preprocess data from various sources.
- Develop predictive models and algorithms to solve complex business problems.
- Perform model validation and fine-tuning to ensure accuracy and reliability.
- Create visualizations and reports to communicate findings effectively.
- Extract actionable insights from data analysis to support decision-making processes.
- Collaborate with business stakeholders to identify key areas for improvement and optimization.
- Provide data-driven recommendations for business strategies and initiatives.
- Conduct ad-hoc analysis to answer specific business questions and solve problems.

**Data Management and Governance**
- Ensure data quality and integrity throughout the data lifecycle.
- Develop and implement data governance frameworks and best practices.
- Collaborate with data engineers to optimize data pipelines and workflows.
- Stay updated with the latest industry trends and advancements in data science.

**Continuous Development and Improvement**
- Stay abreast of new techniques, algorithms, and tools in the field of data science.
- Participate in conferences, workshops, and training programs to enhance skills and knowledge.
- Share knowledge and expertise with team members through mentoring and coaching.

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