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Ethan Tenison

@ethantenison

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Senior Data Scientist/ML Engineer building Bayesian experiments and calibrated models for high-stakes decisions.

United States

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What I'm looking for

I’m looking to lead production ML and Bayesian experimentation work—turning uncertain data into causal, calibrated decisions for enterprise teams—partnering with product and engineering, and mentoring researchers through end-to-end pipelines.

I’m a Senior Data Scientist / ML Engineer with 6+ years designing rigorous experimentation frameworks, Bayesian analytics systems, and calibrated predictive models for high-stakes decision support at enterprise scale. My work blends experimental methodology, causal inference, statistical modeling, and uncertainty quantification—deployed across Fortune 500 R&D clients in production environments.

I’ve led end-to-end delivery: scoping ambiguous analytical problems, building trusted measurement infrastructure, and translating findings into strategy and resource-allocation decisions for executive stakeholders. As Technical lead for NSF-funded applied research ($1.24M total), I’ve advanced data-efficient experimental design while mentoring ML engineers and training 50+ researchers on experimentation design, model interpretation, and production readiness.

Experience

Work history, roles, and key accomplishments

Senior Machine Learning Engineer

Sunthetics, Inc.

Sep 2021 - Feb 2026 (4 years 5 months)

Built LLM-powered RAG and NLP decision-support systems for enterprise R&D knowledge retrieval; led pilots achieving 95–99% predictive accuracy with calibrated uncertainty across 15+ clients. Designed Bayesian optimization workflows cutting required experiments 97% and accelerating discovery 32×, and led end-to-end ML pipelines from ingestion through deployment, monitoring, and retraining.

LLM RAG NLP Bayesian Optimization Uncertainty Quantification Python MLFlow AWS CI CD

Lead Data Scientist

RGK Center, UT Austin

Jan 2021 - Jun 2022 (1 year 5 months)

Built BERT-based NLP pipelines for entity extraction and semantic classification, and led 30+ data science projects delivering decision-ready outputs for government and nonprofit partners. Developed retention risk models using academic and financial predictors to forecast student dropout and guide interventions.

BERT NLP predictive modeling SQL Python Machine Learning Retention

Education

Degrees, certifications, and relevant coursework

The University of Texas at Austin

Master of Arts, Global Policy Studies (Data Science focus)

Activities and societies: Certificates: Data Science for Policy Analysis; Department of Statistics.

Earned an M.A. in Global Policy Studies with a Data Science focus. Completed coursework/certification in Data Science for Policy Analysis through the Department of Statistics.