Lead a team of applied scientists and ML engineers building AI/ML solutions and autonomous agentic workflows for a CRM platform, bridging research and production systems.

Lead a team of applied scientists and ML engineers to develop AI/ML solutions and autonomous agentic workflows for a CRM platform, bridging research and production systems.

Lead a team of applied scientists and ML engineers to design and ship AI/ML solutions for CRM data extraction, agentic workflows, and LLMOps strategy.

Lead a team of Applied Scientists and AI/ML Engineers to develop and deploy AI/ML solutions for CRM data extraction, agentic workflows, and LLMOps infrastructure.

Lead a team of applied scientists and ML engineers building AI/ML solutions for a CRM platform, including agentic workflows, LLMOps strategy, and production data products.

Lead AI/ML strategy and mentor applied scientists and engineers building autonomous agentic workflows and LLM-based solutions for a CRM platform.

Develop and train deep learning models for anomaly detection in multi-channel vision systems to assess manufacturing quality with real production data.

Senior Data Scientist develops predictive models, analyzes complex datasets, and designs experiments to drive data-driven business decisions across product and engineering teams.

Conduct foundational AI research on multimodal perception and reinforcement learning to build clinical reasoning systems for autonomous healthcare delivery.

Conduct frontier AI research on multimodal perception and reinforcement learning to build clinical AI systems for autonomous healthcare delivery.

Lead development and innovation of machine learning models for personalized outfit recommendations, managing the full lifecycle from research through deployment.

Design and build predictive features from complex datasets using statistical rigor and AI tools to power machine learning models in finance.

Senior Data Scientist builds and deploys machine learning models to solve business problems, leveraging statistical modeling and Python to drive strategic decisions.

Lead a data science team building ML models for fraud detection and risk assessment, mentoring researchers while maintaining hands-on involvement in production systems.

Lead a data science team developing ML models for fraud detection and risk assessment, while mentoring team members and maintaining hands-on involvement in production projects.

Conduct user research through interviews and data analysis to identify friction points and deliver actionable product recommendations that influence roadmap decisions.

Lead a data science team building ML models for fraud detection and risk assessment, mentoring scientists while contributing hands-on to production systems.