Jared Snyder
@jaredsnyder
AI and data science leader building production-ready ML systems.
What I'm looking for
I am an AI and data science leader with 12+ years designing and scaling enterprise machine learning solutions, including Generative AI, agentic AI systems, and secure RAG architectures. I translate ambiguous product vision into ML-powered features with measurable business impact across regulated domains such as security, insurance, and healthcare.
I operate at both strategic and technical levels, defining analytics roadmaps while remaining hands-on with Python, SQL, and production-grade ML systems. I have led cross-functional initiatives, built LLMOps and model governance practices, and driven rigorous experimentation and causal inference to inform product decisions.
I am passionate about mentoring and building world-class data science functions, shaping culture, and embedding responsible AI practices and compliance into scalable analytics platforms. I have a proven record of building teams, establishing technical standards, and delivering production ML that meets strict governance requirements.
Experience
Work history, roles, and key accomplishments
Define and execute roadmap for advanced analytics, ML, and Generative AI to deliver privacy-preserving behavioral analytics and enterprise-grade RAG/agentic systems while ensuring governance and measurable product outcomes.
Led enterprise initiatives to design and launch ML decision systems and advanced analytics combining behavioral and structured data to improve risk assessment and operational efficiency at scale.
Senior Data Scientist
Kemper
Nov 2020 - May 2021 (6 months)
Designed and delivered predictive models and analytics supporting operational decision-making and risk management, improving model reliability and regulatory alignment across insurance workflows.
Senior Data Scientist
physIQ
Jul 2019 - Nov 2020 (1 year 4 months)
Developed ML models and pipelines for continuous monitoring and behavior modeling of high-frequency physiological data, enabling actionable clinical insights and compliant deployments.
Built and scaled analytics and ML solutions across pricing, customer analytics, and risk, driving measurable business impact and modernizing production deployment and validation practices.
Machine Learning Engineer
QMedic
Sep 2013 - May 2014 (8 months)
Developed early-stage ML and analytics systems for healthcare, handling data ingestion, feature engineering, and predictive modeling to support clinical and operational insights.
Education
Degrees, certifications, and relevant coursework
University of Michigan
Master's Degree, Physics
2012 - 2013
Completed a Master's degree in Physics focused on advanced coursework and research during 2012–2013.
University of Chicago
Bachelor of Arts (B.A.), Physics and Mathematics
2008 - 2012
Earned a Bachelor of Arts in Physics and Mathematics, completing undergraduate studies from 2008 to 2012.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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