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Lead the fine-tuning and optimization of AI models to improve performance and production readiness for a growing software company’s core product suite.
Lead the development of ML algorithms that turn optical interference signals into clinically meaningful brain-monitoring metrics, setting technical standards and guiding the data-science team at a medtech startup.
Principal Data Scientist to lead Python-centric data engineering and GenAI projects, designing scalable pipelines and ML models for DTCC’s financial markets infrastructure.
Principal Data Scientist at DTCC designs and deploys production-grade AI/GenAI and ML solutions in Python and Snowflake, leading data pipelines and model development for financial markets.
Lead AI product engineering for a healthcare insurer, building and shipping LLM-powered apps, agents, and RAG systems that integrate into claims, payments, and member workflows.
Principal Data Scientist at Microsoft’s CoreAI team driving AI-driven insights, models, and tools to guide product strategy and growth for Microsoft’s developer-focused AI suite.
Lead development of AI models for digital pathology to predict cancer outcomes using whole-slide imaging and large oncology datasets.
Principal Data Scientist at FOX News leads AdRise’s ad-tech monetization, designing experiments, metrics, and ML systems to optimize ad targeting, pricing, and auctions.
Lead the design, delivery, and lifecycle of data science and AI solutions for British Airways, building predictive models and decision-support tools that drive operational and business decisions.
Principal Data Scientist at BHP mines and analyzes large datasets to build predictive models, drive business insights, and optimize processes across the company’s climate-tech operations.
Build and deploy ML models to detect and prevent fraud in an affiliate marketing platform, using graph-based techniques and anomaly detection to protect attribution, lead quality, and partner compliance.
Build and deploy ML models (XGBoost, TensorFlow) to optimize financial decisions, using Python, SQL, and AWS for data pipelines and experimentation.
Leads advanced data science projects, building ML/DL models and pipelines to extract insights and drive business decisions in a large financial institution.
Lead AI/ML strategy and research for next-gen networking, focusing on GenAI, Graph ML, and cloud-scale systems to shape product vision and technical roadmap.
Designs and implements secure, scalable data infrastructure for intelligence analysis, using cloud platforms and AI to turn raw data into actionable insights for national security.
Leads evaluation and improvement of a conversational/agentic AI platform using IR and NLP, mentors teams, and drives data-driven product decisions.
Principal Engineer designs and builds end-to-end data solutions at T-Mobile, owning architecture, modeling, and implementation for scalable data systems.
Lead AI and data-science initiatives for a public-sector agency, translating complex models into business value and guiding cross-functional teams on Gen/Agentic AI solutions.
Principal Data Scientist builds and evaluates Elastic’s conversational AI platform, improving RAG, agent routing, and retrieval quality for grounded, reliable answers from Elasticsearch data.
Principal Data Scientist at Elastic to lead RAG and agentic AI evaluation, building quality layers and guiding model strategies for a conversational platform.
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