Jon Wayland Email and Phone Number
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As a Director of Data Science, I am passionate about transforming complex and nuanced data into actionable insights that drive meaningful outcomes. With over a decade of experience in machine learning, advanced analytics, and AI-driven solutions, I’ve had the privilege of leading teams and pioneering initiatives that deliver measurable value, particularly in the healthcare space.A lifelong learner and early adopter, I thrive with ambiguity at the intersection of technology, strategy, and leadership. Whether it’s mentoring rising data professionals, speaking on AI adoption, or streamlining processes with generative AI, I aim to create systems that are not only efficient but also equitable and impactful.My team has a diverse set of skills, backgrounds, and degrees, including the military, major league baseball, hospitality analytics, overseas educator, and healthcare. We have incredible story-telling abilities, analytical creativity, and a drive to produce high-quality results that are valued by our business partners across the organization. As a technical leader, I co-lead initiatives that span multi-disciplinary teams, including innovation, finance, enterprise data services, actuarial, and more. I have an MBA (2022), an MS in applied mathematics (2014), and a BS in mathematics (2012). I also hold certifications in data science, machine learning, and AI strategy.
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Founder, Solo EntrepreneurThe Dollar WebSt. Augustine, Fl, Us -
Director, Data ScienceFlorida Blue Apr 2023 - PresentJacksonville, Florida, Us- Accountable for all internal and external care management identification for over 3 million lives- Lead the machine learning strategy for all AI-related forums including but not limited to AI governance, the AI intake review committee, and the AI center of excellence- Authored GuideWell’s Machine Learning Enterprise Standards consisting of governance, documentation, development, and deployment best practices for all company practitioners- Created a rapid prototyping framework for developing systematic solutions for LLM use cases- Developed methodology to bucket all Florida Blue members into 1 of 6 mutually exclusive groups ranging from wellness to end of life- Created and scaled a score that identifies members who can be steered to lower-cost services for their respective condition (any and all conditions considered) by only taking into account diagnoses, service setting, and cost- Developed a risk score by leveraging CMS-defined conditions and Charlson Comorbidity Index that has been found to be as predictive as risk scores sold in the market -
Sr. Manager, Data ScienceFlorida Blue Jan 2021 - Apr 2023Jacksonville, Florida, Us- Grew team of 1 to team of 7 full-time data scientists and engineers by proving the value of integrating data science into commercial markets initiatives- Aligned ML strategy to enterprise needs by maintaining team’s priorities with roadmaps, building trust in executives, and setting reliable expectations- Pioneered new methodology for healthcare program evaluation resulting in a decreased difference in covariate means and variance for treatment and control matches by switching from propensity to distance matching - Founded Member Funnel – enterprise ID/Strat system and integrated DB that feeds care management, commercial rewards, member website, Provider Vista (external app.), and Care Connect (internal app.)- Led end-to-end implementation on 15+ machine learning products - Predicted end-of-life (9-15 months) for advanced care program as an individual contributor using an XGBoost model with neural network-derived features (45% precision) achieving $6.5M in annual savings w/ $100k in direct admin. avoidance- Incentivized quick turnarounds with modeling competitions- Successfully convinced for multiple in-house solutions over using vendors -
Sr. Data ScientistFlorida Blue Mar 2020 - Jan 2021Jacksonville, Florida, Us- Predicted end-of-life (9-15 months) for advanced care program as an individual contributor using an XGBoost model with neural network-derived features (45% precision) achieving $6.5M in annual savings w/ $100k in direct admin. avoidance- Managed small team of data scientists with accountability over daily member identification and stratification- Oversight on 10 models from EDA to production including mortality, potentially preventable ER, transplants (heart, liver, kidney), future cost, emerging risk, new member risk, preference-sensitive surgeries, and language preference -
Data Analytics ConsultantFlorida Blue Mar 2019 - Mar 2020Jacksonville, Florida, Us- Engineered new dynamic system in R and SQL for combining contact information, clinical data, and utilization data to craft daily worklists for over 100 clinical staff- Determined prioritization and assignment between identified members and clinical case managers- Created a program to scrape procedure codes and revision dates from over 500 medical coverage guideline documents stored as PDFs using regex -
Data Science MentorSpringboard Nov 2018 - Nov 2020San Francisco, California, Us- Mentored students for the discontinued Introduction to Data Science program as well as the active Data Science Career Track prep course (DSCp)- Assisted students with debugging and optimizing code in R & Python- Taught and provided guidance in statistics & probability, machine learning, data visualization, data storytelling, and careers in data science- Connected students to publicly available data in their fields of interest- Reviewed and provided feedback for resumes tailored to data science opportunities -
Data ScientistAvaility Oct 2017 - Feb 2019Jacksonville, Fl, Us- Increased provider service location accuracy by over 5% by embedding ML model into the PDM product- Identified a subset of customers with high likelihood of attrition using registration DOW, slope of transaction volume, and login patterns- Led weekly user engagement forum working alongside Availity’s UX, sales, marketing and finance teams resulting in a combined business and data driven segmentation of the user population- Created and authored internal analytics email digest showcasing significant business-relevant insights through statistical analysis, machine learning, and data mining- Led analytics engagement with information security resulting in setting up a flagging methodology by parsing through text logs and identifying rapid increases in transactions -
Business Analyst IiWorkpartners Feb 2016 - Sep 2017Pittsburgh, Pennsylvania, Us- Achieved over 80% precision on predicting future mental health claims- Identified a subset of employees with a high likelihood of returning to work longer than expected after specific short-term disability claims- Vetted HCMS Group's analytics on UPMC integrated data, contributing to UPMC WorkPartner's acquisition in 2017Supported the following products through data integration, analysis, and reporting: Medical, Pharmacy, Short Term Disability, Workers' Compensation, Leave, Wellness & Health Management, Human Resources, Socioeconomic, and Employee Satisfaction.Utilized computational tools for data manipulation/analysis:- SQL: Wrote data extraction queries for further analysis and reporting- R: Wrote programs for statistical analysis/testing, data exploration, graphical representations, predictive modeling, etc.- SAS: Wrote and updated existing programs for data structuring and reporting- Excel/VBA: Designed and automated data-driven reports and dashboards -
Business AnalystWorkpartners Aug 2014 - Feb 2016Pittsburgh, Pennsylvania, UsJob functions included:- Statistical models on the difference in healthcare expenditures between wellness-engaged populations and wellness-unengaged populations- Likelihood assessment on the odds of further wellness participation for members who completed a personal health review as opposed to those who haven'tDay-to-day job functions included: - Per-member-per-month (PMPM) trend analysis- Engagement within the wellness products under UPMC's Take-A-Healthy-Step incentive platform- Interaction between wellness utilization and medical/pharmacy utilizationRoutinely used tools: SQL, R, SAS, Excel/VBA -
Statistical Consultant, Applied ResearchIndiana University Of Pennsylvania Aug 2012 - May 2014Indiana, Pa, UsWith only two 20-hour-per-week GAs offered to the MS Applied Math program, this was a highly competitive assistantship providing a 100% tuition waiver. It delivered a great deal of experience, from highly-technical skills such as statistical programming to commonly-used soft skills in industry such as consulting.- Consulted 50+ graduate students and faculty on statistical analysis, research methods and survey designs- Created and taught tutorials on using statistical software R http://www.iup.edu/arl/events/arl-workshops- on-r/ and the surveying tool Qualtrics http://www.iup.edu/arl/events/arl-workshops/- Qualtrics administrator during the 2013-2014 academic year -
Technical ConsultantWayland Farm Supply Aug 2011 - May 2014 -
Actuarial InternThe Phoenix Benefits Group, Inc. May 2013 - Aug 2013- Estimated pension amounts on single employer defined benefit pension plans using probabilistic models- Created an R program to assess accuracy of mortality tables on given populations
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University Tutor, Statistics And CalculusClarion University Aug 2011 - May 2012Clarion, Pa, Us- Tutored undergraduate students in the subjects of Calculus 1 and 2 along with statistics.
Jon Wayland Skills
Jon Wayland Education Details
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University Of Illinois Urbana-ChampaignFocus In Analytics & Entrepreneurship -
Indiana University Of PennsylvaniaApplied Mathematics -
Pennwest ClarionMathematics
Frequently Asked Questions about Jon Wayland
What company does Jon Wayland work for?
Jon Wayland works for The Dollar Web
What is Jon Wayland's role at the current company?
Jon Wayland's current role is Founder, Solo Entrepreneur.
What is Jon Wayland's email address?
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What is Jon Wayland's direct phone number?
Jon Wayland's direct phone number is +181477*****
What schools did Jon Wayland attend?
Jon Wayland attended University Of Illinois Urbana-Champaign, Indiana University Of Pennsylvania, Pennwest Clarion.
What are some of Jon Wayland's interests?
Jon Wayland has interest in Science And Technology, Education.
What skills is Jon Wayland known for?
Jon Wayland has skills like Statistics, Microsoft Excel, R, Microsoft Office, Spss, Customer Service, Analysis, Applied Mathematics, Matlab, Sql, Mathematica, Qualtrics.
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