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Senior Data Scientist II

Boardroom Appointments

Johannesburg

On-site

ZAR 400 000 - 500 000

Full time

Today
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Job summary

A leading recruitment firm in Johannesburg is looking for a candidate skilled in data science and machine learning. This role requires a Master's degree in a relevant field and at least 3 years of relevant experience. Responsibilities include developing NLP solutions, maintaining data assets, and collaborating with technical teams to meet project requirements. The successful applicant will demonstrate proficiency in translating complex requirements into effective software designs. Competitive compensation and career development opportunities are offered.

Qualifications

  • 3+ years of relevant work experience.

Responsibilities

  • Evaluate and help maintain our data assets and training/evaluation data sets.
  • Develop and implement NLP-based information extraction solutions.
  • Propose and identify trade-offs of various algorithmic solutions.
  • Interface with other technical personnel or team members to finalize requirements.
  • Work closely with other development team members to understand moderately complex product requirements and translate them into software designs.
  • Successfully implement development processes, coding best practices, and code reviews for production environments.

Education

Masters Degree in Data Science, Computer Science, Statistics, Machine Learning or related field
Job description
Qualifications
  • Masters Degree in Data Science, Computer Science, Statistics, Machine Learning or related field
  • 3+ years of relevant work experience
Responsibilities
  • Evaluate and help maintain our data assets and training/evaluation data sets
  • Develop and implement NLP-based information extraction solutions
  • Propose and identify trade-offs of various algorithmic solutions
  • Interface with other technical personnel or team members to finalize requirements
  • Work closely with other development team members to understand moderately complex product requirements and translate them into software designs
  • Successfully implement development processes, coding best practices, and code reviews for production environments
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