Data Scientist

6 days ago

Johannesburg, Gauteng, South Africa Network Recruitment Full time
Key Responsibilities:
  • Conduct statistical analysis, forecasting, predictive modeling, simulation, and optimization to uncover trends, opportunities, and threats.
  • Evaluate the effectiveness of new data sources and gathering techniques.
  • Improve data collection procedures to include relevant information for building analytical systems.
  • Design and develop advanced quantitative analytics models to answer business questions and identify opportunities for improvement.
  • Stay updated with advancements in analytics technology and methodologies.
  • Serve as a technical expert in machine learning languages, packages, and techniques.
  • Mentor and guide junior Data Scientists and Analysts.
  • Present findings to management and the business using data visualization techniques.
  • Collaborate with business stakeholders to identify, prioritize, and deliver key business opportunities where analytics can drive bottom-line value.
  • Drive the adoption of data-driven decision-making across the organization.
  • Partner with teams to define business requirements and expected outcomes for analysis and solution design.
  • Build and maintain data science solutions, including using machine learning, cloud technologies, and APIs.
  • Migrate on-premises solutions to the cloud and help drive business value through data science.
  • Assist with the development of the necessary infrastructure (databases, BI tools, modeling software) to support the analytics agenda.
  • Collaborate closely with the business to understand how analytics and data science can enhance their operations.
  • Perform any additional duties necessary to support the operational effectiveness of the company.
Required Knowledge, Experience, and Skills:
  • 4-6 years of experience in a related field.
  • Strong analytical and problem-solving skills.
  • Experience in big data analytics, database mining, statistical modeling, and programming.
  • Knowledge of database analytical tools and statistical packages.
  • Experience with Classification models, Anomaly detection, Regression, and Neural networks.
  • Proficiency in Python, SQL Server, PowerBI, Excel, PowerPoint; Azure is a plus.
  • Understanding of APIs in Python.
  • Strong communication skills (both written and verbal).
  • Excellent project management and delivery skills.
  • Excellent relationship management and facilitation skills.
Educational Requirements:
  • Matric.
  • A degree in Science, Mathematics, Statistics, Engineering, Computer Science, or Data Science.

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