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Ana Mason UserAU
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Ana Mason User

@anamasonuser

Lead Data Scientist specializing in scalable ML, advanced analytics, and production-ready predictive models.

United States
Message

What I'm looking for

I want to join remote-first, asynchronous teams where I can translate complex data into production-ready ML solutions—improving decision accuracy, system reliability, and business outcomes through scalable pipelines and strong validation.

I’m a Lead/Senior Data Scientist with 8+ years building machine learning models, advanced analytics solutions, and scalable data systems for high-volume enterprise environments.

I specialize in predictive modeling from large-scale structured and unstructured data—driving customer behavior, churn prediction, demand forecasting, and operational optimization with measurable business outcomes.

I design and execute end-to-end data science workflows, from data ingestion and feature engineering to model deployment and monitoring in production—strengthening performance, accuracy, and system scalability through optimized pipelines and robust validation.

I bring strong expertise in Python, SQL, and distributed processing, integrating ML workflows into ETL/ELT pipelines with MLOps practices and CI/CD. I’ve deployed models on AWS and GCP with a focus on reliability and scale, and I collaborate effectively in remote-first, asynchronous teams.

Experience

Work history, roles, and key accomplishments

AB
Current

Lead Data Scientist

Alpha Bridge

Jun 2023 - Present (3 years)

Led end-to-end development of machine learning solutions for forecasting, customer behavior analysis, and operational optimization, improving decision-making accuracy. Designed and scaled ETL/ELT pipelines processing 50M+ records daily and implemented MLOps/CI/CD to standardize model deployment and lifecycle management.

KPMG logoKP

Senior Data Scientist

Jan 2020 - May 2023 (3 years 4 months)

Developed machine learning models for customer segmentation, churn prediction, and demand forecasting to support business strategy. Built scalable ETL pipelines on AWS and GCP, optimized large-scale processing with PySpark, and used statistical analysis and A/B testing to evaluate model outcomes.

Education

Degrees, certifications, and relevant coursework

BS

Bachelor of Science in Computer Science

Bachelor of Science, Computer Science

Completed a Bachelor of Science in Computer Science.

Tech stack

Software and tools used professionally

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