Data Scientist

2 weeks ago

Durban, South Africa RecruiTech Full time
Responsibilities:

Data Analysis and Modelling:
  • Develop and deploy machine learning and artificial intelligence models and algorithms to extract insights, predict outcomes, and optimize processes
  • Conduct in-depth data analysis, data exploration, and data preprocessing to extract valuable information from large datasets
  • Apply statistical techniques and hypothesis testing to validate findings

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 modelling
  • 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

Requirements:
  • Degree in Computer Science, Data Science, or a related field
  • 4+ Years experience in data science roles, including hands-on experience with machine learning, deep learning, and statistical analysis
  • Proficiency in data analysis and machine learning 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

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