Resume

Dustin O’Neil

Growth-focused analytics leader specializing in marketing measurement, experimentation, and user/player lifecycle optimization.

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I build and scale end-to-end analytics for acquisition and engagement, developing A/B testing frameworks, segmentation models, and attribution systems that improve campaign performance across email, push, and multi-channel ecosystems. Experienced operating in zero-to-one environments, partnering with marketing, product, and data teams to translate consumer behavior into actionable growth strategy and measurable impact.

Languages

PythonSQLRSAS

Tools

DatabricksSparkAWS RedshiftAWS S3TableauPower BICustom dashboards

Methods

RegressionCausal inferenceForecastingExperimentationETLData engineering

Vice President, Data Science

Edelman DXI · Los Angeles, CA

Jan 2022 – Present

  • Led and mentored a team of 7 senior analysts while serving as second-in-command for a 22-person live-service analytics organization; acted as principal architect for ecosystem measurement and attribution strategy.
  • Designed ecosystem-level measurement systems linking sales and brand engagement ecosystems: user acquisition, retention, reactivation, lifetime value, and player/user behavior.
  • Built and deployed incrementality and attribution models using regression, causal inference, forecasting, segmentation, and cohort analysis to quantify business and behavioral impact.
  • Defined and scaled cross-portfolio KPI frameworks, standardized metric definitions, governance standards, experimentation design, and longitudinal methodologies.
  • Served as executive analytics lead on multiple $1M+ engagements, owning data strategy and measurement design.
  • Directed analytics across Fortune 100/500 clients including Microsoft, Starbucks, Nestlé, and Pinterest, influencing senior leadership decisions.
  • Developed executive-ready dashboards and analytical decision systems translating complex modeling outputs into clear, decision-grade insights for multi-million-dollar investment decisions.
  • Partnered with data engineering to architect scalable infrastructure using Databricks, Spark, AWS, SQL, Python, and R.

Manager, Global Risk Analytics

Paysafe · Los Angeles, CA

Oct 2020 – Jan 2022

  • Built and led a team of 5 analysts, establishing a centralized analytics center of excellence with standardized documentation, training programs, and governance practices.
  • Directed global risk analytics across credit underwriting, fraud, and bank portfolio monitoring.
  • Built scalable Python/SQL forecasting systems to support high-volume transaction environments.
  • Designed portfolio-level KPI frameworks and risk monitoring dashboards linking transaction behavior to downstream financial and regulatory outcomes.
  • Applied forecasting, regression, and cohort-based analysis to identify emerging risk patterns and proactively inform executive decision-making.

Senior Data Scientist / Senior Industrial Engineer

NBCUniversal Media · Universal City, CA

Jan 2017 – Mar 2020

  • Hired and developed 3 engineers; delivered $2M+ in incremental operational returns.
  • Designed forecasting and regression-based demand models using Python, SQL, and AWS Redshift, connecting guest demand for The Wizarding World of Harry Potter to guest experience, staffing, and supply chain decisions.
  • Architected automated data pipelines and cloud infrastructure enabling scalable forecasting, KPI tracking, and longitudinal performance analysis.

Data Scientist / Industrial Engineer

NBCUniversal Media · Universal City, CA

May 2015 – Jan 2017

  • Delivered $1.3M in first-year savings by designing Python-based guest attendance forecasting and staffing optimization models.
  • Built automated dispatching and labor management systems and executive dashboards, replacing manual workflows and generating $400K in annual savings.
  • Developed statistical models linking guest attendance, ride capacity, and labor demand, enabling data-driven staffing decisions across 8 major attractions.

Process Engineer Technician

Intel Corporation · Hillsboro, OR

Jun 2009 – Mar 2014

  • Reduced electroplating defects by 90% using statistical process control and SQL-based root cause analysis.

Education & Certifications

Arizona State University

M.S., Statistics & Industrial Engineering · GPA: 3.79

Lean Six Sigma Black Belt Certification

Grove City College

B.A. in Communication · Minor: Pre-Medical Science · GPA: 3.62