Senior Data Scientist Team Lead

2 weeks ago


Durban, South Africa PersSol Pty Full time
Job title : Senior Data Scientist Team LeadJob Location : KwaZulu-Natal, DurbanDeadline : March 26, 2025Quick Recommended Links
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Key Resposibilities

Data Analysis and Modeling:

  • 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 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.

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 and AI
  • 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.

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