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Bill Schill has a diverse work experience spanning over 14 years. Bill is currently working as the Lead Data Scientist at Integra Credit, a position they have held since February 2023.

Prior to their current role, Bill worked at F.N.B. Corporation, where they held multiple positions. From March 2022 to March 2023, they served as a Senior Data Scientist, focusing on data engineering, statistical modeling, machine learning, and analytics. From August 2020 to March 2023, they held the role of Data Scientist / Quantitative Modeling, where they worked on regulatory compliance (DFAST and CECL) and marketing efforts, utilizing Python, R, SQL, SAS, and Matlab.

Before joining F.N.B. Corporation, Bill worked at Cigna as a Data Science Advisor from March 2019 to August 2020. In this role, they primarily worked on descriptive and predictive modeling, analytics, forecasting, and data engineering (ETL), primarily using Python and other tools such as Spark, R, SSMS, PSQL (Oracle), HADOOP, Tableau, Data Robot, Adobe Analytics, and Domino.

Bill's professional journey began at United States Steel Corporation in 2007, where they held multiple roles. As a Research Engineer I from January 2013 to April 2016, they specialized in mathematical modeling and analysis, working with languages such as Matlab, Python, R, and Visual Basic. Bill also served as a Data Analyst, focusing on cost and process improvement, working with R, Python, Matlab, SQL, and Cognos. Additionally, Bill worked as a Tubular Business Analyst from January 2011 to December 2012, conducting data and cost analyses and supporting production optimization.

In their early career, Bill gained valuable experience as a Tech Support Specialist at United States Steel Corporation from January 2007 to December 2010. In this role, they provided technical support and managed new hires and contractors. Bill also contributed to analysis and data interpretation for team projects and technological trends.

Bill Schill pursued their education at various institutions and obtained multiple degrees. From 2009 to 2012, they attended the University of Washington, where they earned a Master of Science (MS) degree in Applied Mathematics. Additionally, during the same period, they also completed another Master of Science (MS) program in Applied Mathematics at the University of Washington. Prior to their master's degrees, they attended PennWest California from 2002 to 2008 and received a Bachelor of Arts (BA) degree in Mathematics.

In terms of additional certifications, Bill Schill completed various courses at DataCamp, including "Data Scientist with Python Track," "Natural Language Processing Fundamentals in Python," "Introduction to Databases in Python," "Case Studies in Statistical Thinking," "Supervised Learning with SciKit Learn," "Interactive Data Visualization with Bokeh Course," "Statistical Thinking in Python," and "Network Analysis in Python (Part I)." Bill also obtained certificates in "Statistical Inference" on multiple occasions from Coursera Course Certificates, with the completion dates in August 2016. There are several other certifications, including "Intermediate Python for Data Science," "Intro to Python for Data Science," "Introduction to Credit Risk Modeling in R," "Introduction to Machine Learning," "Kaggle Python Tutorial on Machine Learning," and "Kaggle R Tutorial on Machine Learning," but the specific completion dates are not provided.