Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Senior Data Scientist / ML Engineer with 9+ years of experience building scalable data pipelines, machine learning systems, and AI-driven analytics platforms. Strong expertise in statistical modeling, NLP, and LLM/RAG pipelines, combined with deep experience in data engineering and MLOps. Proven ability to improve model performance, pipeline efficiency, and real-time data processing systems across healthcare, SaaS, aerospace, and infrastructure domains.…Senior Data Scientist / ML Engineer with 9+ years of experience building scalable data pipelines, machine learning systems, and AI-driven analytics platforms. Strong expertise in statistical modeling, NLP, and LLM/RAG pipelines, combined with deep experience in data engineering and MLOps. Proven ability to improve model performance, pipeline efficiency, and real-time data processing systems across healthcare, SaaS, aerospace, and infrastructure domains.

Jason Allen

Data Scientist, Data Engineer, AI Engineer, +1





Senior Data Scientist / ML Engineer with 9+ years of experience building scalable data pipelines, machine learning systems, and AI-driven analytics platforms. Strong expertise in statistical modeling, NLP, and LLM/RAG pipelines, combined with deep experience in data engineering and MLOps. Proven ability to improve model performance, pipeline efficiency, and real-time data processing systems across healthcare, SaaS, aerospace, and infrastructure domains.…Senior Data Scientist / ML Engineer with 9+ years of experience building scalable data pipelines, machine learning systems, and AI-driven analytics platforms. Strong expertise in statistical modeling, NLP, and LLM/RAG pipelines, combined with deep experience in data engineering and MLOps. Proven ability to improve model performance, pipeline efficiency, and real-time data processing systems across healthcare, SaaS, aerospace, and infrastructure domains.

Available to hire

Senior Data Scientist / ML Engineer with 9+ years of experience building scalable data pipelines, machine learning systems, and AI-driven analytics platforms. Strong expertise in statistical modeling, NLP, and LLM/RAG pipelines, combined with deep experience in data engineering and MLOps.

Proven ability to improve model performance, pipeline efficiency, and real-time data processing systems across healthcare, SaaS, aerospace, and infrastructure domains.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

Work Experience

Senior Data Scientist / ML Engineer at Optum

August 1, 2022 - Present

Built machine learning pipelines and predictive models supporting healthcare analytics and population health insights. Developed data pipelines (Airflow, Spark, Kafka) enabling ingestion and transformation of large-scale clinical and operational data. Integrated LLM and RAG pipelines to enhance clinical decision support and analytics workflows. Improved model evaluation and feature engineering workflows, optimizing reliability of predictive systems. Optimized database performance (PostgreSQL, MongoDB, Redis, Elasticsearch) to reduce latency in high-volume queries. Deployed ML models using AWS (SageMaker) and MLflow to improve model lifecycle management and monitoring. Implemented observability and logging frameworks to increase visibility into model and pipeline performance. Ensured HIPAA-compliant data handling and secure API integration.

Software Engineer at Ordermark

January 1, 2021 - July 1, 2022

Built real-time data pipelines and analytics systems supporting order aggregation across delivery platforms. Developed data processing workflows (Kafka, ETL pipelines) enabling real-time order tracking and reporting. Implemented statistical analysis and reporting systems to improve operational insights for restaurant partners. Optimized data queries and indexing strategies to improve performance of analytics dashboards. Improved data pipeline efficiency, reducing latency in high-throughput order processing systems. Contributed to monitoring and logging systems to improve detection of data inconsistencies and failures.

Software Engineer at Collins Aerospace

July 1, 2019 - December 1, 2020

Developed data processing pipelines and analytics systems supporting aerospace telemetry and operational data. Built real-time data ingestion and processing workflows, improving system responsiveness for high-frequency data. Implemented data modeling and feature engineering techniques supporting analytics and monitoring systems. Improved system reliability and data consistency, enhancing performance of mission-critical applications. Supported monitoring and observability frameworks for operational data systems.

Software Engineer (Consultant) at Con Edison

October 1, 2016 - May 1, 2019

Built data pipelines and analytics systems supporting energy usage monitoring and grid operations. Developed real-time data processing workflows for electricity and infrastructure analytics. Implemented statistical analysis and reporting systems to improve operational decision-making. Optimized database performance (SQL Server, PostgreSQL, Redis) to improve system responsiveness. Enhanced data reliability and fault tolerance for critical infrastructure systems. Supported monitoring and logging systems to improve visibility into data pipeline performance.