Data Scientist

2 weeks ago


Johannesburg, Gauteng, South Africa Planet10 Full time
Senior Data Scientist/Engineer

We are seeking a highly skilled and experienced Senior Data Scientist/Engineer to drive business growth through data-driven insights and innovative solutions.

Key Responsibilities:
  • Data Analysis and Interpretation: Analyze and interpret complex datasets to uncover trends, patterns, and actionable insights, and develop and implement advanced statistical models and machine learning algorithms to solve business problems.
  • Data Engineering: Design, develop, and maintain scalable data pipelines and architectures, ensure data quality, integrity, and security across various sources, and optimize data storage solutions for efficiency and performance.
  • Project Leadership: Lead data science and engineering projects from conception to deployment, coordinate with cross-functional teams, and define project scope, goals, and deliverables that support business objectives.
  • Mentorship and Collaboration: Mentor and provide guidance to junior data scientists and engineers, foster a collaborative and innovative team environment, and communicate complex technical concepts and insights to non-technical stakeholders.
  • Research and Development: Stay current with the latest advancements in data science, engineering, and machine learning, and experiment with new tools, techniques, and technologies to continuously improve data processes and analytics.
  • Deployment and Maintenance: Deploy and monitor machine learning models in production environments, continuously improve and maintain existing data models and infrastructure, and implement best practices for model management and version control.

Qualifications:

Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Engineering, or a related field, and 5+ years of experience in data science, data engineering, or a related field, with a proven track record of leading data projects and managing teams.

Technical Skills:

  • Proficiency in programming languages such as Python, R, or Scala, and expertise in data processing frameworks like Apache Spark, Hadoop, or similar.
  • Strong SQL skills and experience with relational and NoSQL databases, and familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Advanced knowledge of data visualization tools like Tableau, Power BI, or similar.

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