Applied AI Scientist
P
PixalateTrust and safety
Remote, SingaporeFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3–6 years of experience in a data science, ML, or data analytics role
- Required Skills
- PythonSQLMachine LearningPrompt EngineeringLLMLangChain
Requirements
- PhD in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field.
- 3–6 years of experience in a data science, ML, or data analytics role.
- Strong statistical foundation, including distributions, hypothesis testing, and model evaluation.
- Hands-on experience building with LLMs and AI agents.
- Experience with prompt engineering, tool use, and designing agentic workflows using frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen.
- Proficiency in Python and SQL.
- Ability to critically evaluate data quality and model outputs.
- Prior experience in cybersecurity, fraud detection, trust and safety, or digital advertising ecosystems is a nice-to-have.
- Exposure to multi-agent orchestration patterns is a nice-to-have.
Responsibilities
- Analyze traffic, behavioral, and signals data to identify patterns, anomalies, and data quality issues.
- Translate quantitative findings into actionable recommendations for engineering, product, and cross-functional teams.
- Design and maintain AI agents, dashboards, and reporting pipelines to track data quality, trends, and product health.
- Partner with engineering and product teams to ensure data quality and integrity across product pipelines.
- Collaborate with AI/ML teams to connect QA findings with model improvements.
- Support data needs across the product portfolio, including supply-side intelligence, MFA detection, seller/app ratings, and compliance-related products.
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