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Staff Data Scientist at Mozn builds and deploys NLP models and AI strategies to extract insights from large datasets, collaborating with leadership and engineering to drive data-driven decisions.
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Leads AI-driven product analytics at Xero, owning roadmaps, mentoring data scientists, and shaping measurement strategies to drive experimentation and business decisions.
Lead AI-driven product analytics at a design-led company, owning measurement roadmaps, shaping AI use, and mentoring data scientists to drive experiments and customer outcomes.
Lead the design and deployment of LLM-driven agentic AI systems that autonomously plan, decide, and act at enterprise scale.
Lead the design and deployment of agentic AI systems, including LLM-driven agents with planning, tool-use, and multi-step reasoning for enterprise workflows.
Lead the design and deployment of agentic AI systems and multi-step reasoning models for enterprise use cases, mentoring engineers and shaping AI governance.
Build and deploy large-scale ML systems to optimize ad delivery and revenue, collaborating with product and engineering teams in a remote-first environment.
Builds and runs pricing models and experiments to optimize Square’s global rates, using SQL, Python, and causal inference to shape merchant pricing strategy and AI-driven deal automation.
Staff Data Scientist builds predictive models and analytics to optimize Slack’s Go-to-Market strategy, analyzing customer behavior and sales performance to drive revenue growth and AI-powered selling decisions.
Build and maintain AI/ML systems and data pipelines for Johns Hopkins University’s Data Science and AI Institute, advancing collaborative AI research.
Lead complex AI/ML modeling projects for an insurtech platform, blending deep learning and LLMs with traditional techniques to predict risk and drive business decisions.
Build and deploy ML models for business decisions and optimize AI agentic systems like conversational tools, using Python, SQL, and libraries such as PyTorch.
Design and deploy data acquisition and quality techniques for Large Language Models, collaborating with research and engineering teams to improve AI training data and model performance.
Build and scale production-grade driver-based revenue models that link Snowflake’s product usage to financial outcomes, enabling self-service scenario planning and executive decision-making.
SignalFire connects Senior/Staff Data Scientists with VC-backed startups in AI, cybersecurity, healthtech, fintech, and devtools, focusing on experimentation, modeling, and data-driven product decisions.
Build and deploy end-to-end ML and Generative AI solutions for enterprise-scale problems in commercial operations, supply chain, and customer experience using Python, TensorFlow/PyTorch, and LLM frameworks like LangChain.
Builds and improves AI-driven credit products like Cash App Borrow and Afterpay by analyzing customer data, designing experiments, and measuring financial outcomes for millions of users.
Build and deploy ML models to match renters with properties, optimize marketplace performance, and drive revenue growth using Python, SQL, and ML frameworks.
Lead data science initiatives to improve AI models by designing training data pipelines and metrics, collaborating with cross-functional teams to shape product direction.
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