Jon Wayland

Jon Wayland Email and Phone Number

Founder, Solo Entrepreneur @ The Dollar Web
St. Augustine, FL, US
Jon Wayland's Location
St Augustine, Florida, United States, United States
Jon Wayland's Contact Details
About Jon Wayland

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.

Jon Wayland's Current Company Details
The Dollar Web

The Dollar Web

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Founder, Solo Entrepreneur
St. Augustine, FL, US
Jon Wayland Work Experience Details
  • The Dollar Web
    Founder, Solo Entrepreneur
    The Dollar Web
    St. Augustine, Fl, Us
  • Florida Blue
    Director, Data Science
    Florida Blue Apr 2023 - Present
    Jacksonville, 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
  • Florida Blue
    Sr. Manager, Data Science
    Florida Blue Jan 2021 - Apr 2023
    Jacksonville, 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
  • Florida Blue
    Sr. Data Scientist
    Florida Blue Mar 2020 - Jan 2021
    Jacksonville, 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
  • Florida Blue
    Data Analytics Consultant
    Florida Blue Mar 2019 - Mar 2020
    Jacksonville, 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
  • Springboard
    Data Science Mentor
    Springboard Nov 2018 - Nov 2020
    San 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
  • Availity
    Data Scientist
    Availity Oct 2017 - Feb 2019
    Jacksonville, 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
  • Workpartners
    Business Analyst Ii
    Workpartners Feb 2016 - Sep 2017
    Pittsburgh, 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
  • Workpartners
    Business Analyst
    Workpartners Aug 2014 - Feb 2016
    Pittsburgh, Pennsylvania, Us
    Job 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
  • Indiana University Of Pennsylvania
    Statistical Consultant, Applied Research
    Indiana University Of Pennsylvania Aug 2012 - May 2014
    Indiana, Pa, Us
    With 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
  • Wayland Farm Supply
    Technical Consultant
    Wayland Farm Supply Aug 2011 - May 2014
  • The Phoenix Benefits Group, Inc.
    Actuarial Intern
    The 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
  • Clarion University
    University Tutor, Statistics And Calculus
    Clarion University Aug 2011 - May 2012
    Clarion, Pa, Us
    - Tutored undergraduate students in the subjects of Calculus 1 and 2 along with statistics.

Jon Wayland Skills

Statistics Microsoft Excel R Microsoft Office Spss Customer Service Analysis Applied Mathematics Matlab Sql Mathematica Qualtrics Python Research Data Science Sas Predictive Analytics Html Machine Learning Numpy Time Series Analysis Consulting Pandas Healthcare Mathematics Statistical Data Analysis Arena Simulation Software Lingo Arima

Jon Wayland Education Details

  • University Of Illinois Urbana-Champaign
    University Of Illinois Urbana-Champaign
    Focus In Analytics & Entrepreneurship
  • Indiana University Of Pennsylvania
    Indiana University Of Pennsylvania
    Applied Mathematics
  • Pennwest Clarion
    Pennwest Clarion
    Mathematics

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?

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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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