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Jonathan P Evans

@jonathanpevans

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Senior Data Scientist specializing in AI/ML, experimentation, and scalable data infrastructure.

United States

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What I'm looking for

I seek roles where I can lead ML-driven product and research initiatives, build scalable data/AI infrastructure, and work with cross-functional teams to deliver measurable impact.

I am a Senior Data Scientist with deep experience building AI, ML, and data infrastructure to drive measurable program impact. I have designed production-ready data architectures, experimentation platforms, and AI tools that turned multi-day analyses into near-real-time insights.

My work blends applied machine learning, NLP, and cloud data engineering — from RAG chatbots and vector embeddings to Redshift/Athena pipelines and full-stack A/B testing platforms. I collaborate with researchers and stakeholders to translate business questions into rigorous analytical frameworks and published research.

I prioritize reproducibility, statistical rigor, and accessibility for non-technical users, and I bring hands-on experience across AWS, Azure OpenAI, Python/R, and modern ML tooling to accelerate product and research outcomes.

Experience

Work history, roles, and key accomplishments

Senior Data Scientist

Orijin

Jul 2024 - Jan 2026 (1 year 6 months)

Designed SQL-based data architecture tracking 30,000+ incarcerated learners and implemented RAG chatbot and AI reporting tools to reduce analysis time from days to minutes and improve data accessibility for non-technical stakeholders.

SQL Azure OpenAI Redshift N8n React Python AWS Experimentation Statistical Analysis

Data Scientist

Panorama Education

May 2022 - Aug 2023 (1 year 3 months)

Applied Python and statistical methods to complex survey data, deployed Athena/Redshift pipelines achieving 99.9% data accuracy, and contributed to five published research studies improving the company's educational research capabilities.

Python Pandas scikit learn Amazon Athena Redshift SQL S3 R Data Pipeline Development

Data Analyst

Workforce Solutions of Central Texas

Feb 2020 - May 2022 (2 years 3 months)

Conducted EDA and built a ticket forecasting model with production-ready architecture, improving forecasting performance by 25% and reducing recurring issues by 49% through a tagging and analysis framework.

Forecasting KPI Tracking SQL Data Tagging Python Root Cause Analysis

Junior Data Scientist

Electronic Arts

Dec 2018 - Dec 2019 (1 year)

Performed sentiment analysis and topic modeling on customer chat data to quantify impacts on satisfaction and surfaced key themes influencing user experience through visualizations and word-frequency analysis.