Jeffrey Chrabaszcz
Data AnalystMachine Learning & Data Science
Allstate
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning & Data Science
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Data Scientist with a demonstrated history of working in the health care and computer software industries.
University of Maryland
PhD, Neuroscience and Cognitive Sciences
January 1, 2010 – January 1, 2016
The George Washington University
BA, Psychology
January 1, 2004 – January 1, 2008
Allstate
Lead Data Scientist
August 1, 2025 – Present
Remote
Duquesne University
Adjunct Professor
August 1, 2024 – Present
Pittsburgh, Pennsylvania, United States · On-site
Ware2Go
Machine Learning Engineer
December 1, 2022 – June 1, 2025
Software Engineering Institute | Carnegie Mellon University
Machine Learning Research Scientist
July 1, 2021 – November 1, 2022
Pittsburgh, Pennsylvania, United States
Epistemix
Senior Scientist
November 1, 2020 – June 1, 2021
Pittsburgh, Pennsylvania, United States
Govini
Data Science Lead
June 1, 2019 – September 1, 2020
Greater Pittsburgh Region
Software Engineering Institute | Carnegie Mellon University
Machine Learning Research Scientist
September 1, 2017 – June 1, 2019
Greater Pittsburgh Region
Carnegie Mellon University
Postdoctoral Fellow
August 1, 2016 – September 1, 2017
Pittsburgh, PA
Chrabaszcz & Associates, LLC
Data Scientist
January 1, 2014 – Present
Greater Pittsburgh Region
University of Maryland
Graduate Teaching Assistant
August 1, 2012 – April 1, 2016
University of Maryland
Faculty Research Assistant
January 1, 2009 – August 1, 2012
George Washington University
Research Assistant
January 1, 2006 – August 1, 2010
gemmR
September 1, 2012 – Present
R package instantiating the general monotone model (Dougherty & Thomas, 2012).
Software Architect Professional
Software Engineering Institute | Carnegie Mellon University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic background and diverse experience across research institutions, government contractors, and industry (e.g., Allstate, Ware2Go). This breadth suggests adaptability to various organizational cultures. The progression from research scientist to lead data scientist and machine learning engineer indicates a drive for growth and impact. The 'gemmR' personal project shows initiative and a passion for quantitative work. However, the target role of 'Data Analyst' might be a step down in terms of responsibility compared to 'Lead Data Scientist' or 'Machine Learning Engineer' roles, which could impact long-term cultural fit if the role does not offer sufficient challenge or growth opportunities.
Soft Skills & Operational Fit
The candidate's experience as an Adjunct Professor and Graduate Teaching Assistant suggests strong communication and pedagogical skills. Roles involving team leadership and client advisory indicate good collaboration and stakeholder management. The diverse project background implies adaptability and problem-solving abilities. However, specific details on stress handling or team collaboration are not available from the provided data.