Senior Data Science & AI Researcher (TRL 1–3)

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD. is seeking a Senior Researcher to lead early-stage Data Science and AI research at TRL 1–3 in collaboration with Homeland Security stakeholders. The role emphasizes formulating research questions, designing experiments, and translating findings into proposals.

You will review academic literature, identify gaps, and mentor junior researchers while working with ambiguous data and stakeholder input to advance toward Principal Investigator responsibilities.

Qualifications

• Strong ability to review research papers and identify gaps.
• Experience defining research problems, designing experiments, and validating hypotheses.
• Strong Data Science / AI / ML fundamentals and Python skills.

Responsibilities

• Define research questions, hypotheses, methodologies, and research directions.
• Review and interpret research papers, identify gaps, and propose new areas of investigation.
• Draft research proposals and conduct experiments to validate early-stage concepts.
• Work with limited, incomplete, or initially unavailable datasets.
• Engage stakeholders regularly to gather context, refine assumptions, and improve data quality.
• Provide technical consultation and mentor team members.
• Develop toward future Principal Investigator responsibilities.

Skills

Python programming

Data Science fundamentals

AI/ML fundamentals

Education

Master’s degree or PhD in Data Science, Computer Science, AI, ML, Statistics, Engineering, or related field

Job description

EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD. is seeking a Senior Researcher to lead early-stage Data Science and AI research at TRL 1–3 in collaboration with Homeland Security stakeholders. The role emphasizes formulating research questions, designing experiments, and translating findings into proposals.

You will review academic literature, identify gaps, and mentor junior researchers while working with ambiguous data and stakeholder input to advance toward Principal Investigator responsibilities.