Senior Data Scientist - ML & Insights Architect (Remote)

South Africa Job Search

Cape Town

On-site

ZAR 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Career growth
Collaborative environment
Cutting-edge technology
Flexible hours/remote options

Job summary

Acenture in Cape Town is seeking a highly skilled Data Scientist to join our Data Science department. You will collect, analyze, and interpret complex data to inform business decisions and drive growth, working closely with clients to develop data-driven solutions.

Collaboration with the data engineering team will be essential to design robust pipelines and architectures. The ideal candidate has a strong background in machine learning, statistics, and data visualization, along with excellent

Qualifications

  • MSc in Data Science or related field.
  • 8-12 years of experience in data science or related field.
  • Strong background in machine learning, statistics and data visualization.
  • Excellent communication and interpersonal skills.
  • Ability to work effectively in a team environment.

Responsibilities

  • Collect and analyse complex data to inform business decisions.
  • Develop data-driven solutions to address client challenges.
  • Collaborate with data engineering to design and implement data pipelines and architectures.
  • Communicate complex data insights to non-technical stakeholders.
  • Stay up-to-date with trends in data science and machine learning.

Skills

Machine learning
Statistics
Data visualization
Communication
Teamwork
Data engineering awareness

Education

MSc in Data Science or related field

Job description

Acenture in Cape Town is seeking a highly skilled Data Scientist to join our Data Science department. You will collect, analyze, and interpret complex data to inform business decisions and drive growth, working closely with clients to develop data-driven solutions.

Collaboration with the data engineering team will be essential to design robust pipelines and architectures. The ideal candidate has a strong background in machine learning, statistics, and data visualization, along with excellent

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