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Lead AI projects from discovery to production, mentor teams, and scale AI capabilities for global initiatives in a hybrid role.
Leads statistical methodology for Genentech, designing and consulting on fit-for-purpose methods to ensure scientific rigor and excellence in decision-making across drug programs.
Principal Data Scientist builds ML models and GenAI tools to optimize marketing campaigns, measure effectiveness, and deliver self-service analytics for a medical-device company.
Principal Statistical Methodology Data Scientist at Roche designs advanced analytics and statistical frameworks to improve clinical trial decision-making and regulatory strategy in pharmaceutical R&D.
Principal Tech Program Manager to drive measurement parity across Amazon Advertising’s ad tech ecosystem, aligning teams to deliver consistent advertiser measurement globally.
Principal Staff Engineer builds and optimizes exabyte-scale data platforms for LLMs, RAG, and agentic AI systems that power CrowdStrike’s AI-native cybersecurity products.
Principal Data Scientist Consultant develops clinical datasets (SDTM/ADaM) in R, ensures CDISC compliance, and supports regulatory submissions for a global CRO.
Arlyn AI – AI-Powered Insights for Life Science Arlyn AI (Formerly Quantile) is a New York–based, fast-growing stealth AI startup expanding patient access to life-changing medicines while reducing commercial costs for…
Lead high-impact modeling initiatives for an AI-driven insurance decision-intelligence platform, combining deep learning and traditional techniques to build and deploy predictive models that reveal hidden risk.
Lead end-to-end data science projects for consumer markets, designing robust statistical methods and advising senior clients on revenue and strategy using large datasets.
Lead advanced ML and causal-inference modeling to drive strategic decisions, mentor data scientists, and communicate insights to senior stakeholders at Microsoft.
Leads advanced data science and causal inference for Microsoft’s customer support AI systems, designing experiments, mentoring teams, and advising executives on high-stakes technical decisions using Python, SQL, and ML frameworks.
Lead data science projects for a healthcare insurer, building predictive models and AI agents to detect fraud and inform policy decisions using Python, R, and Snowflake.
Lead predictive modeling and measurement for a new AI agentic product platform, defining metrics and guiding experiments to shape next-gen design experiences.
Principal Data Scientist at Northrop Grumman building advanced security systems requiring Secret clearance, analyzing data to inform defense decisions.
Lead data-science projects in drug development, designing real-world-data analyses and risk-stratification algorithms to inform clinical decisions and health outcomes at a global healthcare company.
Principal Product Manager leading data science and market research to shape Windows platform strategy, developer ecosystem investments, and competitive positioning using telemetry, surveys, and analytics.
Lead the AI-native personalization platform for a streaming service, designing systems that power Search, Recommendations, and Notifications for millions of users.
Lead design and delivery of Google Cloud Gen AI and agentic systems for healthcare clients, turning clinical data into safe, production-ready AI solutions that improve decision support and workflows.
Builds AI/ML models and predictive analytics for commercial insurance risk management using Python, SQL, and advanced statistical techniques to deliver client-facing insights.
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