Data Scientist, AI Agent Quality

Binance

Data Scientist in Binance's Accelerator Program focusing on AI Agent decision-quality assurance. Conducting research and developing models for compliance and KYC-related projects.

Posted 7/15/2026internshipRemote • 🇸🇬 SingaporeMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python programming for data processing and analysis, alongside a solid foundation in statistics and machine learning. Proven ability to manage end-to-end projects with a focus on actionable insights and collaboration within a team environment.

Highest-signal resume keywords

Python ProficiencyStatistics / ML FundamentalsSQL Data ExtractionLLM / Prompt Engineering ExperienceEnd-to-End Project Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLStatistical AlgorithmsMachine Learning ModelsData ProcessingData AnalysisStatistical ModelsClassification Evaluation MetricsPandasNumpy

Soft Skills

Teamwork MindsetSense of OwnershipResponsibility

Tools & Technologies

AI Coding AssistantsCopilotCursorClaudeChatGPT

Industry Keywords

Financial RiskKYCComplianceAnti-Fraud

Tech Stack

Tools & technologies

NumpyPandasPythonSQL

About the role

Key responsibilities & impact

Participate in and conduct research on decision-quality analysis and continuous improvement of the project
Develop and research statistical algorithms and machine learning models; use SQL and Python to validate and build production applications of large language models (LLMs)
Extract and analyze data to validate hypotheses and deliver quantifiable, actionable conclusions with clear implementation directions
Assist in producing analytical reports and technical documentation; collaborate with the team to drive project progress

Requirements

What you’ll need

Master's degree or above in a STEM field (CS, Statistics, Data Science, Applied Mathematics, EE, or related)
**Python proficiency**: able to independently write data processing and analysis scripts (pandas, numpy, etc.)
At least **one end-to-end project** where you drove the work from start to finish with a tangible deliverable
**Statistics / ML fundamentals**: solid understanding of statistical models, machine learning model training and classification evaluation metrics (precision, recall, confusion matrix, FP/FN, and their business implications)
**English reading and writing** fluency (all project documentation and code are in English)
**Strong teamwork mindset and a sense of ownership/responsibility for the project**
Experience using AI coding assistants (Copilot / Cursor / Claude / ChatGPT) on real projects **with a verification mindset** (not blindly trusting AI output)
LLM / Prompt Engineering / Agent project experience
SQL data extraction experience
Background in financial risk, KYC, compliance, or anti-fraud

Benefits

Comp & perks

Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)