Bjarni Runolfson
@bjarnirunolfson
I’m a Data Science Manager leading production-grade ML and predictive analytics teams to drive revenue growth and operational efficiency.
What I'm looking for
I’m a strategic Data Science leader with 16+ years of experience using machine learning, advanced analytics, and predictive modeling to drive revenue growth, operational efficiency, and strategic decision-making. I design and deploy production-grade ML models, optimize high-impact business processes, and translate complex insights into actionable decision frameworks.
I’m trusted by executives and stakeholders for disciplined data governance, scalable analytics, and measurable outcomes. In my current role, I lead model governance audits, technical architecture reviews, and targeted coaching to improve ML quality, scalability, and delivery velocity across production environments.
Across my experience, I’ve built forecasting and optimization solutions—such as enterprise call routing optimization frameworks and lead prioritization/scoring systems—that directly exceeded revenue targets and increased high-value application volume. I also focus on team development and cross-functional executive partnership, integrating advanced analytics into core business workflows through practical implementation, including reverse ETL pipelines and production model deployment.
Experience
Work history, roles, and key accomplishments
Data Science Manager
eHealth
Apr 2025 - Present (1 year 2 months)
Led production ML model governance and technical architecture reviews, improving scalability and delivery velocity across machine learning systems. Built call routing optimization, exceeding revenue forecasts by 4%, and delivered lead prioritization for Medicare products that increased high-value application volume by 5%.
Managed and mentored a small data science team, upskilling a business analyst into a data scientist and expanding advanced analytics delivery. Developed pricing and segmentation propensity models and partnered on initiatives that increased delivery revenue by 30% year-over-year.
Architected and deployed propensity models that drove customer registrations up to 14% across multiple marketplaces. Engineered predictive and risk-focused models including a 91% accurate logistic regression for merchant success, plus anomaly detection and ML-based audit prioritization.
Education
Degrees, certifications, and relevant coursework
Georgia Institute of Technology
Master of Science, Computer Science
Pursuing a Master of Science in Computer Science at Georgia Institute of Technology, expected to complete in 2026.
Western Governors University
Bachelor of Science, Information Technology Management
Earned a Bachelor of Science in Information Technology Management from Western Governors University in 2016.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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