Senior Data Scientist II

Boardroom Appointments

Cape Town

On-site

ZAR 900,000 - 1,300,000

Full time

14 days+
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Job summary

Boardroom Appointments in Cape Town seeks a data science specialist to evaluate and help maintain our data assets and training data sets, focusing on robust NLP-based information extraction solutions.

You will propose trade-offs of various algorithms, interface with technical teams to finalize requirements, and translate moderately complex product requirements into software designs, ensuring production-grade development processes and code reviews.

Qualifications

  • Must have advanced degree in a relevant field (Masters).
  • Experience with data assets management and NLP-based information extraction preferred.
  • Ability to translate moderately complex product requirements into software designs.

Responsibilities

  • Evaluate and help maintain 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 to finalize requirements.
  • Work with development teams to translate product requirements into software designs.
  • Implement development processes, coding best practices, and code reviews for production environments.

Skills

NLP
Data assets management
Software design

Education

Master's Degree in Data Science / Computer Science / Statistics / ML or related field

Job description

  • 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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