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Vetted Predictive Modeling Professionals
Pre-screened and vetted.
Junior Data Scientist specializing in risk modeling, NLP, and predictive analytics
Mid-level Data Scientist & AI/ML Engineer specializing in GenAI and LLM-driven enterprise systems
Senior Data Analyst & Data Scientist specializing in healthcare, epidemiology, and predictive modeling
Mid-level Data Scientist specializing in ML, NLP, and cloud deployment
Junior Technical Solutions Engineer specializing in Epic EMR and healthcare IT
Mid-level Data Analytics Engineer specializing in ETL pipelines and BI dashboards
Mid-level Data Analyst specializing in healthcare and financial analytics
Mid AI/ML Engineer specializing in MLOps, deep learning, and cloud ML systems
Senior Data Scientist and AI Engineer specializing in NLP, LLMs, and MLOps
Mid-level Full-Stack Engineer specializing in cloud-native enterprise and FinTech systems
Senior AI Architect specializing in Generative AI and LLM systems
Mid-level Data Engineer specializing in AWS data lakes for healthcare and financial services
Senior Data Scientist specializing in NLP, MLOps, and cloud ML platforms
Principal Automation Architect specializing in cloud DevOps, microservices, and MLOps
Robert Wilson
Senior Product Manager specializing in AI-driven EdTech
“Education product leader with a strong track record building learner-facing engagement and AI features at Sophia, including an AI chat-based assessment, motivational messaging system, and course planning experience. Stands out for combining measurable product impact with thoughtful human-centered AI practices, academic integrity safeguards, and strong cross-functional leadership across product, engineering, academics, ops, legal, and PR.”
Kamilah Patterson
Senior HR Business Partner specializing in talent strategy and workforce analytics
“HR Business Partner with GroupM experience supporting multiple mergers, building and transitioning Analytics/Programmatic/Account Management teams through hands-on job architecture, benchmarking, and performance management. Uses HR analytics (including an Excel-based retention model with visual reporting) and cross-functional partnership with IT to reduce disruption and improve retention during restructuring and major policy changes like return-to-office.”