Senior IT Officer Data Scientist

tendersglobal.net

Senior IT Officer (Data Scientist) is responsible for collaborating with stakeholders to identify departmental needs, utilizing data analysis techniques such as machine learning and statistical modeling to develop solutions, and presenting their findings for adjustments. The role also involves implementing data collection frameworks, automation tools, and data correlation to extract actionable insights, while requiring qualifications in relevant fields and a commitment to continuous learning in the evolving field of data science. The incumbent will report to designated International Staff.
Responsibilities:
  • Work actively with various business stakeholders to understand departmental needs and use data to solve these needs.
  • Perform data investigation and analysis.
  • Design data modeling processes, predictive models, and create algorithms using data science techniques, including machine learning, statistical modeling, and artificial intelligence.
  • Present results to stakeholders and make adjustments based on feedback.
  • Implement and adhere to ADB’s Responsible AI Framework throughout their work.
  • Collect and analyze data to derive business insights.
  • Transform data into suitable formats for analysis.
  • Create new, enterprise frameworks to collect data.
  • Build tools for automating data collection.
  • Search through large datasets to extract valuable information.
  • Generate reports and presentations for business use.
  • Correlate similar data to identify actionable insights.
Qualifications:
Relevant Experience & Requirements:
  • A Bachelor’s degree in computer engineering, electrical engineering, computer/data science, mathematics, or statistics, preferably with Master’s Degree or equivalent.
  • At least 8 years work experience and at least 4 years of supervisory experience.
  • Experience in artificial intelligence and machine learning.
  • Familiarity with data management tools.
  • Excellent analytical, technical, and problem-solving skills.
  • The ability to communicate complex data in a simple and actionable manner.
  • Data Scientists should excel in the following areas:

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