Robert W Szarek

• szarekr@gmail.com
• www.robertszarek.com
• Chicago, Illinois

Highly skilled professional with a Master’s Degree in I-O Psychology, specializing in people analytics, statistical modeling, and the application of machine learning techniques. I have deep expertise in R, Linux, and Python, which helps me design and develop custom machine learning models and Shiny dashboards to solve complex business problems.

Skills

• Machine learning: GLM, tree-based, clustering, PCA, SVM, deep learning, LLM
• NLP: tfidf, bag of words, word vectors, word embeddings, BERT
• R: shiny, dplyr, ggplot2, tidymodels caret, psych, markdown, quarto
• Python: sklearn, numpy, pandas, jupyter, matplotlib, SpaCy, polars
• Traditional experimental research and statistical hypothesis testing
• Psychometrics: (DIF, IRT, CTT), survey and test development and analysis
• Software engineering best practices with unit testing, Docker and Git
• AGILE/SCRUM project methodology
• Visualizations and storytelling with ggplot2, plotly and Tableau
• Native fluency in Polish, English, near-fluency in German, familiarity with Spanish

Experience

Talent Analytics Solutions Lead, Netflix June 2025 – Current

On the Talent Analytics team at Netflix, I build dashboards using open source and commercial software to build infrastructure to help drive the business forward in hiring the best talent and forecasting future growth.

• Build and maintain a compendium of Tableau dashboards such as Inclusion & Diversity, Capacity Modeling, etc.

• Work with stakeholders to map the vision and future for dashboard analytics

• Serve as a subject matter expert in data infrastructure, building customized data pipelines to help drive cutting-edge data delivery

Human Factors Researcher, FAA May 2024 – Current

As a contractor for the Federal Aviation Administration’s Office of Aviation Safety (AVS), I perform data analysis to support human factors research and regulatory development to improve safety and efficiency.

• An independent contract role to combine statistical significance testing with software programming to automate and scale flight simulator pilot performance studies.
• Build data pipelines in R that ingest, test and export hypothesis tests that are published in formal research studies.
• Leverage automation to streamline analytics, reducing time to completion and errors.

Senior Data Scientist, Unum June 2021 – June 2025

At Unum, I blend cutting edge scientific analyses with compelling visualizations and storytelling to help improve how we work together.

• Built an enterprise-grade Shiny webapp hosted on a Linux Server that serves network analyses. in real-time to help solve career progression.
• Built a custom machine learning model to identify gender pay-gap equity.
• Perform Repeated Measures ANOVA to compare productivity levels of hybrid employees.
• Use NLP to summarize open-ended text such as survey responses and job descriptions.
• Built a custom skills database from mining employee Workday profiles and resumes.
• Built an enterprise Tableau dashboard to report volunteer and donation rates.
• Built a predictive model from candidate assessment data to predict employee job performance.
• Built a custom in-house R package to automate Teradata server connections, API data requests, and custom functions for analyzing disparate impact for entry-level roles.

I/O Psychologist, Checkster October 2020 – March 2021

At Checkster, I served as a consultant to ensure clients were employing best practices in the development, deployment and interpretation of survey responses.

• Led a project initiative to develop a machine learning algorithm to predict job performance from reference-checking survey data.
• Consulted clients on topics such as: survey content, rating scales, benchmarking analytics, etc.
• Created a repository of centralized knowledge of I/O Psychology best practices and principles.
• Cluster-analyzed job classifications to streamline competencies assessed in surveys.

Consultant/Researcher, I/O Solutions September 2012 – September 2020

At IOS, I provided expert consultation to government agencies on employee selection policies, developed automated systems and machine learning algorithms to streamline operations and delivered in-depth statistical analyses and reporting solutions to improve testing practices and scale analyses.

• Consulted police & fire chiefs, HR managers and other key government officials on policies and practices in employee selection and minimizing adverse impact and bias in testing.
• Compiled and produce rigorous statistical technical documentation outlining the various deliverables associated with a client project.
• Automated numerous analytical processes to save employer thousands of dollars in manual labor.
• Integrated a dynamic feedback reporting system leveraging R and Markdown to create automated customizable feedback reports for clients.
• Built an interactive Shiny R user dashboard to import, pre-process, score, and summarize datasets containing written examination data.
• Developed machine learning algorithms (regression) to set cut-scores on high-stakes employment tests administered nationally to over 100,000 candidates.
• Served as project manager for agencies seeking to develop custom cognitive tests or interviews.
• Ran statistical analyses to drive organizational change including: ANOVA, t-test, chi-square, linear, multiple and logistic regression, correlations, factor and cluster analysis, etc.
• Compiled normative databases utilizing R, Python or SQL to drive normative exam standards.

Achievements & Professional Affiliations

Private Pilot License, Aircraft Single Engine Land, FAA September 2015

Instrument Rating, Airplane, FAA April 2025

The Yellow Tulip, Volunteer June 2022 – January 2025

• Develop a Tableau Dashboard to streamline survey responses to monitor, in real time, volunteer sentiment.
• Gauge feedback concerning past events to help improve the experience for the future.
• Consult on survey strategy, assessment technique, and data storage best practices.

Society for Industrial Psychologists (SIOP) October 2020 – October 2023

• Built a custom R package for annual membership data cleaning.
• Laid the foundation for a data infrastructure plan to help streamline the access and retention of sensitive data.
• Build an R shiny dashboard to provide an interactive experience to view membership data.

Fox Flying Club Board Member November 2017 – January 2019

• Researched the ability for our aircraft to acquire a Cirrus SR-20 G2 for our fleet.
• Investigated financing options, expected maintenance, and member interest in flying new aircraft types.
• Performed data analysis on membership sentiment to establish long term strategy for the club.

Education

Elmhurst College, M.A. Industrial-Organizational Psychology 2010 – 2012

Northeastern Illinois University, B.A. Psychology/Philosophy 2004 – 2009

v1.0. Last Updated on March 8, 2025