Applied AI Scientist (PhD Required)

What you'll do

• Analyze traffic, behavioral, and signals data to identify patterns, anomalies, and data quality issues
• Translate complex quantitative findings into clear, 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 over time
• Partner with engineering and product teams to ensure data quality and integrity across product pipelines
• Collaborate with AI/ML teams to close the feedback loop between QA findings and model improvements
• Support data needs across Pixalate's product portfolio — including supply-side intelligence, MFA detection, seller/app ratings, and compliance-related products

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 — understanding distributions, hypothesis testing, model evaluation, and where things go wrong
• Hands-on experience building with LLMs and AI agents, including prompt engineering, tool use, and designing agentic workflows using existing frameworks (e.g. LangChain, LlamaIndex, CrewAI, AutoGen, or similar)
• Proficiency in Python and SQL
• Ability to think critically about data quality and model outputs — naturally skeptical and rigorous
• Clear written and verbal communication skills

Tech stack