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Justin Li

@justinli1

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Lead data scientist driving AI/ML solutions that cut costs and accelerate clinical and infrastructure outcomes.

United States

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What I'm looking for

I seek a product-focused AI/ML role where I can lead cross-functional teams to deploy scalable, high-impact models that improve operational efficiency and customer outcomes.

I am a Lead Data Scientist with 9+ years building production AI/ML systems across healthcare, cloud infrastructure, real estate, and SaaS. I specialize in delivering measurable business impact by combining advanced modeling, scalable data engineering, and clear product-focused metrics.

At Cohere Health I led generative AI and real-time decisioning pipelines that improved authorization turnaround by 70%, delivered 30–40% administrative cost savings, and enabled 90% auto-approvals across millions of requests—while maintaining >99% precision in critical clinical extraction tasks.

I have a track record of shipping high-scale telemetry and analytics features at Chronosphere, driving infrastructure cost reductions and faster time-to-detection, and of creating predictive customer analytics and retention models at startups. I bring strong cross-functional leadership, mentorship, and a product-first approach to data science.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Scientist

Current

Cohere Health

Jan 2023 - Present (2 years 8 months)

Spearheaded AI-powered intake and decisioning pipelines that sped prior authorization turnaround by 70% and delivered 30–40% administrative cost savings; architected FHIR API integrations and AI copilots that achieved >85% real-time approvals and slashed nurse review time by 50% while maintaining >99% precision.

Python Generative AI NLP FHIR MLOps

Senior Data Scientist

Chronosphere

Jun 2020 - Dec 2022 (2 years 6 months)

Developed telemetry transformations and features that reduced stored data by up to 84% and improved time-to-detection by 30–40%, built query acceleration and quotas to cut dashboard load times 50% and stabilize customer spend by 25%.

Python Data Engineering Observability Prometheus OpenTelemetry Spark Cost Optimization

Data Scientist

Inspiring Apps

Mar 2018 - May 2020 (2 years 2 months)

Rebuilt analytics for a real-estate fintech app to boost weekly active users 22% and milestone tracking 35%, deployed churn models with 88% precision and cut transaction drop-off by 18% while creating real-time financial dashboards that halved reporting lag.

Python Churn Modeling Product Analytics A B Testing Dashboards SQL Mobile Analytics

Data Analyst

Roofr

Aug 2016 - Feb 2018 (1 year 6 months)

Optimized lead capture and reporting processes to raise qualified lead conversion 28%, reduce reporting lag 40%, shorten sales cycle 20%, and cut material overage waste 22% through data-driven forecasting and dashboards.