Accountabilities:

The Data Scientist will support research, analysis, and development efforts focused on improving AI Agent decision quality and operational effectiveness. Key responsibilities include:

• Participate in research initiatives focused on AI Agent decision-quality analysis and continuous improvement.
• Perform root-cause analysis on AI Agent decisions using statistical and data analysis techniques.
• Develop and research statistical algorithms and machine learning models to improve system performance.
• Use Python and SQL to process data, validate hypotheses, and support production applications involving large language models (LLMs).
• Extract, analyze, and interpret complex datasets to generate measurable insights and actionable recommendations.
• Evaluate AI outputs and identify patterns, errors, and improvement opportunities.
• Support the creation of analytical reports, technical documentation, and project deliverables.
• Collaborate with cross-functional teams to advance AI quality initiatives and improve project outcomes.
• Contribute to AI optimization workflows with a strong focus on accuracy, reliability, and business impact.

Requirements:

The ideal candidate is a highly analytical STEM graduate with strong foundations in data science, machine learning, and AI technologies. Required qualifications include:

• Master’s degree or above in a STEM-related field such as Computer Science, Statistics, Data Science, Applied Mathematics, Electrical Engineering, or a related discipline.
• Strong Python skills with the ability to independently write data processing and analysis scripts using tools such as pandas and numpy.
• Experience completing at least one end-to-end project from concept to final deliverable.
• Strong understanding of statistics, machine learning fundamentals, model training, and classification evaluation metrics such as precision, recall, confusion matrices, false positives, and false negatives.
• Ability to translate analytical findings into clear conclusions and practical recommendations.
• Fluency in English reading and writing, as project documentation and code are maintained in English.
• Experience using SQL for data extraction and analysis.
• Familiarity with LLMs, prompt engineering, AI Agents, or related AI projects is a plus.
• Experience using AI coding assistants such as Copilot, Cursor, Claude, or ChatGPT with a strong verification mindset.
• Background or interest in financial risk, KYC, compliance, or fraud prevention is beneficial.
• Strong ownership mindset, teamwork skills, and ability to take responsibility for project outcomes.

Benefits:

• Opportunity to gain hands-on experience in AI, machine learning, and blockchain-related technology projects.
• Exposure to real-world applications of LLMs, AI Agents, and data-driven decision systems.
• Collaboration with global teams and experienced professionals in an innovative environment.
• Remote-first work model with flexible working arrangements.
• Professional development opportunities and the chance to build transferable technical skills.
• Opportunity to work on challenging projects with meaningful business impact.
• Competitive salary and benefits package.
• Dynamic environment focused on learning, growth, and continuous improvement.