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Joshua Herries

@joshuaherries

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Senior Data Scientist specializing in production ML and scalable data pipelines.

United States

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What I'm looking for

I seek a senior/data-lead role where I can build production ML systems, scale data pipelines, drive measurable business impact, and establish analytics best practices within a collaborative, data-driven organization.

I am a Senior Data Scientist with 15+ years of hands-on experience building production machine learning systems, predictive models, and scalable data pipelines across healthcare, media, and telecommunications.

I have engineered large-scale data processing (150B+ records) and built end-to-end infrastructure using SQL, R, Python, Spark, and cloud platforms to operationalize models and reduce scoring latency by 96%.

My work has driven measurable impact including $10M annual cost optimization, enabling $800M+ contract negotiations, identifying $100M+ growth opportunities, and contributing to $900+ million in total business impact through model development and analytics.

I establish ML best practices and data-as-a-product frameworks, create reusable ETL assets, and deliver actionable dashboards and experimentation to improve decision-making and operational efficiency.

Experience

Work history, roles, and key accomplishments

Senior Data Scientist

Serco

Jan 2019 - Jan 2025 (6 years)

Built end-to-end ML infrastructure and data pipelines for a healthcare marketplace, processing 800 million temporal records and delivering predictive models and dashboards that enabled targeted interventions and $10M in annual cost optimization.

Python R SQL Tableau Data Pipelines Machine Learning A B Testing Data Quality

Senior Data Scientist

Gannett

Jan 2017 - Jan 2019 (2 years)

Built Spark-based big data infrastructure processing 43+ billion records and developed production ML pipelines and customer segmentation that enabled daily scoring and real-time targeting to improve acquisition and retention.

Spark Big Data R Customer Segmentation Distributed Systems

Senior Director, Predictive Analytics

Charter Communications

Jan 2009 - Jan 2018 (9 years)

Engineered production ML infrastructure and forecasting systems processing 150B+ records, delivered 50+ production models and analytics that supported $800M+ negotiation leverage and identified $100M+ growth opportunities.