Recruitment Analytics Data Scientist (AI/ML)

JOBSTATION SERVICES PTE. LTD.

Singapore

On-site

SGD 70,000 - 120,000

Part time

7 days ago
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Job summary

JOBSTATION SERVICES PTE. LTD. in Singapore is seeking a data analytics professional focused on recruitment analytics to analyze sourcing, application, and placement funnels and to develop predictive models and actionable insights for recruiters and clients.

You will design experiments, define performance metrics, create dashboards, and collaborate with recruiters to translate findings into operational improvements, while documenting workflows under supervision.

Qualifications

  • 1-3 years of relevant experience applying data analytics to recruitment.
  • Proficiency in Python, SQL, statistics, machine learning, experimentation, data visualization, and data storytelling.
  • Diploma, degree, or equivalent practical experience in a relevant technical, business, or creative discipline.

Responsibilities

  • Analyze sourcing, application, and placement funnels to identify recruitment trends and opportunities
  • Develop predictive and classification models to enhance recruitment decision-making
  • Design experiments and define performance metrics to evaluate recruitment processes
  • Create dashboards that provide actionable insights for recruiters and clients
  • Test and document data for bias and quality issues to ensure reliable analysis
  • Collaborate with recruiters to translate analytical findings into operational improvements
  • Learn recruitment workflows quickly and document work clearly under recruiter supervision

Skills

Python
SQL
Statistics
Machine learning
Experimentation
Data visualization
Data storytelling

Education

Diploma or Degree

Job description

JOBSTATION SERVICES PTE. LTD. in Singapore is seeking a data analytics professional focused on recruitment analytics to analyze sourcing, application, and placement funnels and to develop predictive models and actionable insights for recruiters and clients.

You will design experiments, define performance metrics, create dashboards, and collaborate with recruiters to translate findings into operational improvements, while documenting workflows under supervision.

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